Load_curve_decomposition.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>electricity demand</th>\n",
       "      <th>wind generation</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Hours</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>5151.0</td>\n",
       "      <td>3360.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>5046.0</td>\n",
       "      <td>3351.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4933.5</td>\n",
       "      <td>3334.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4785.0</td>\n",
       "      <td>3280.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>4722.0</td>\n",
       "      <td>3342.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2846</th>\n",
       "      <td>7648.5</td>\n",
       "      <td>2797.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2847</th>\n",
       "      <td>7695.0</td>\n",
       "      <td>2683.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2848</th>\n",
       "      <td>7722.0</td>\n",
       "      <td>2494.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2849</th>\n",
       "      <td>7810.5</td>\n",
       "      <td>2490.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2850</th>\n",
       "      <td>7986.0</td>\n",
       "      <td>2472.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>2850 rows × 2 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       electricity demand  wind generation\n",
       "Hours                                     \n",
       "1                  5151.0           3360.0\n",
       "2                  5046.0           3351.0\n",
       "3                  4933.5           3334.5\n",
       "4                  4785.0           3280.5\n",
       "5                  4722.0           3342.0\n",
       "...                   ...              ...\n",
       "2846               7648.5           2797.5\n",
       "2847               7695.0           2683.5\n",
       "2848               7722.0           2494.5\n",
       "2849               7810.5           2490.0\n",
       "2850               7986.0           2472.0\n",
       "\n",
       "[2850 rows x 2 columns]"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "file = \"analysis.xlsx\"\n",
    "\n",
    "df = pd.read_excel(file, index_col = \"Hours\")\n",
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1440x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df[\"electricity demand\"].plot(figsize=(20,10));"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'Electricity Demand (MW)')"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1440x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize = (20, 10))\n",
    "plt.rcParams[\"font.size\"] = 14\n",
    "\n",
    "df[\"electricity demand\"].plot()\n",
    "\n",
    "plt.xlabel(\"Hours\")\n",
    "plt.ylabel(\"Electricity Demand (MW)\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "###  Load Duration Curve"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>electricity demand</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Hours</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>5151.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>5046.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4933.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4785.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>4722.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2846</th>\n",
       "      <td>7648.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2847</th>\n",
       "      <td>7695.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2848</th>\n",
       "      <td>7722.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2849</th>\n",
       "      <td>7810.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2850</th>\n",
       "      <td>7986.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>2850 rows × 1 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       electricity demand\n",
       "Hours                    \n",
       "1                  5151.0\n",
       "2                  5046.0\n",
       "3                  4933.5\n",
       "4                  4785.0\n",
       "5                  4722.0\n",
       "...                   ...\n",
       "2846               7648.5\n",
       "2847               7695.0\n",
       "2848               7722.0\n",
       "2849               7810.5\n",
       "2850               7986.0\n",
       "\n",
       "[2850 rows x 1 columns]"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[ [\"electricity demand\"] ]\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>electricity demand</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Hours</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>5151.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>5046.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4933.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4785.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>4722.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2846</th>\n",
       "      <td>7648.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2847</th>\n",
       "      <td>7695.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2848</th>\n",
       "      <td>7722.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2849</th>\n",
       "      <td>7810.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2850</th>\n",
       "      <td>7986.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>2850 rows × 1 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       electricity demand\n",
       "Hours                    \n",
       "1                  5151.0\n",
       "2                  5046.0\n",
       "3                  4933.5\n",
       "4                  4785.0\n",
       "5                  4722.0\n",
       "...                   ...\n",
       "2846               7648.5\n",
       "2847               7695.0\n",
       "2848               7722.0\n",
       "2849               7810.5\n",
       "2850               7986.0\n",
       "\n",
       "[2850 rows x 1 columns]"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_demand = df[ [\"electricity demand\"] ]\n",
    "\n",
    "df_demand"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "<ipython-input-9-a0bd344969a4>:1: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  df_demand.sort_values(by = \"electricity demand\", ascending = False, inplace = True)\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>electricity demand</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Hours</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>936</th>\n",
       "      <td>9412.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>935</th>\n",
       "      <td>9411.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>937</th>\n",
       "      <td>9346.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1704</th>\n",
       "      <td>9313.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>934</th>\n",
       "      <td>9309.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>4054.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>4039.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>4035.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>4023.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>4015.5</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>2850 rows × 1 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       electricity demand\n",
       "Hours                    \n",
       "936                9412.5\n",
       "935                9411.0\n",
       "937                9346.5\n",
       "1704               9313.5\n",
       "934                9309.0\n",
       "...                   ...\n",
       "17                 4054.5\n",
       "20                 4039.5\n",
       "22                 4035.0\n",
       "21                 4023.0\n",
       "19                 4015.5\n",
       "\n",
       "[2850 rows x 1 columns]"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_demand.sort_values(by = \"electricity demand\", ascending = False, inplace = True)\n",
    "df_demand"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>electricity demand</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>9412.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>9411.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>9346.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>9313.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>9309.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2846</th>\n",
       "      <td>4054.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2847</th>\n",
       "      <td>4039.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2848</th>\n",
       "      <td>4035.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2849</th>\n",
       "      <td>4023.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2850</th>\n",
       "      <td>4015.5</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>2850 rows × 1 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      electricity demand\n",
       "1                 9412.5\n",
       "2                 9411.0\n",
       "3                 9346.5\n",
       "4                 9313.5\n",
       "5                 9309.0\n",
       "...                  ...\n",
       "2846              4054.5\n",
       "2847              4039.5\n",
       "2848              4035.0\n",
       "2849              4023.0\n",
       "2850              4015.5\n",
       "\n",
       "[2850 rows x 1 columns]"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_demand.index = np.arange(1, 2851)\n",
    "df_demand"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 0, 'Hours')"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df_demand.plot()\n",
    "plt.title(\"Load Duration Curve\")\n",
    "plt.ylabel(\"MW\")\n",
    "plt.xlabel(\"Hours\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "6567.0"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_demand.loc[df_demand.index[2850/2],df_demand.columns[0]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The minimum electricity demand    4015.5\n",
      "dtype: float64\n"
     ]
    }
   ],
   "source": [
    "print(\"The minimum \" + f\"{df_demand.min()}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "electricity demand    9412.5\n",
       "dtype: float64"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_demand.max()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Residual Load Duration Curve"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>electricity demand</th>\n",
       "      <th>wind generation</th>\n",
       "      <th>residual load</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Hours</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>5151.0</td>\n",
       "      <td>3360.0</td>\n",
       "      <td>1791.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>5046.0</td>\n",
       "      <td>3351.0</td>\n",
       "      <td>1695.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4933.5</td>\n",
       "      <td>3334.5</td>\n",
       "      <td>1599.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4785.0</td>\n",
       "      <td>3280.5</td>\n",
       "      <td>1504.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>4722.0</td>\n",
       "      <td>3342.0</td>\n",
       "      <td>1380.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2846</th>\n",
       "      <td>7648.5</td>\n",
       "      <td>2797.5</td>\n",
       "      <td>4851.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2847</th>\n",
       "      <td>7695.0</td>\n",
       "      <td>2683.5</td>\n",
       "      <td>5011.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2848</th>\n",
       "      <td>7722.0</td>\n",
       "      <td>2494.5</td>\n",
       "      <td>5227.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2849</th>\n",
       "      <td>7810.5</td>\n",
       "      <td>2490.0</td>\n",
       "      <td>5320.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2850</th>\n",
       "      <td>7986.0</td>\n",
       "      <td>2472.0</td>\n",
       "      <td>5514.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>2850 rows × 3 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       electricity demand  wind generation  residual load\n",
       "Hours                                                    \n",
       "1                  5151.0           3360.0         1791.0\n",
       "2                  5046.0           3351.0         1695.0\n",
       "3                  4933.5           3334.5         1599.0\n",
       "4                  4785.0           3280.5         1504.5\n",
       "5                  4722.0           3342.0         1380.0\n",
       "...                   ...              ...            ...\n",
       "2846               7648.5           2797.5         4851.0\n",
       "2847               7695.0           2683.5         5011.5\n",
       "2848               7722.0           2494.5         5227.5\n",
       "2849               7810.5           2490.0         5320.5\n",
       "2850               7986.0           2472.0         5514.0\n",
       "\n",
       "[2850 rows x 3 columns]"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[\"residual load\"] = df[\"electricity demand\"] - df[\"wind generation\"]\n",
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>residual load</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Hours</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1791.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1695.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1599.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1504.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>1380.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2846</th>\n",
       "      <td>4851.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2847</th>\n",
       "      <td>5011.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2848</th>\n",
       "      <td>5227.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2849</th>\n",
       "      <td>5320.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2850</th>\n",
       "      <td>5514.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>2850 rows × 1 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       residual load\n",
       "Hours               \n",
       "1             1791.0\n",
       "2             1695.0\n",
       "3             1599.0\n",
       "4             1504.5\n",
       "5             1380.0\n",
       "...              ...\n",
       "2846          4851.0\n",
       "2847          5011.5\n",
       "2848          5227.5\n",
       "2849          5320.5\n",
       "2850          5514.0\n",
       "\n",
       "[2850 rows x 1 columns]"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_residual = df[[\"residual load\"]]\n",
    "df_residual"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "<ipython-input-27-0ad674234f55>:1: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  df_residual.sort_values(by='residual load',ascending=False,inplace=True)\n"
     ]
    }
   ],
   "source": [
    "df_residual.sort_values(by='residual load',ascending=False,inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>residual load</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Hours</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>936</th>\n",
       "      <td>9337.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>935</th>\n",
       "      <td>9333.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>937</th>\n",
       "      <td>9271.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>934</th>\n",
       "      <td>9231.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>938</th>\n",
       "      <td>9097.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>1057.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1353</th>\n",
       "      <td>1054.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>1047.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>1014.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>957.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>2850 rows × 1 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       residual load\n",
       "Hours               \n",
       "936           9337.5\n",
       "935           9333.0\n",
       "937           9271.5\n",
       "934           9231.0\n",
       "938           9097.5\n",
       "...              ...\n",
       "15            1057.5\n",
       "1353          1054.5\n",
       "10            1047.0\n",
       "12            1014.0\n",
       "13             957.0\n",
       "\n",
       "[2850 rows x 1 columns]"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_residual"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>residual load</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>9337.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>9333.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>9271.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>9231.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>9097.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2846</th>\n",
       "      <td>1057.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2847</th>\n",
       "      <td>1054.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2848</th>\n",
       "      <td>1047.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2849</th>\n",
       "      <td>1014.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2850</th>\n",
       "      <td>957.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>2850 rows × 1 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      residual load\n",
       "1            9337.5\n",
       "2            9333.0\n",
       "3            9271.5\n",
       "4            9231.0\n",
       "5            9097.5\n",
       "...             ...\n",
       "2846         1057.5\n",
       "2847         1054.5\n",
       "2848         1047.0\n",
       "2849         1014.0\n",
       "2850          957.0\n",
       "\n",
       "[2850 rows x 1 columns]"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_residual.index = np.arange(1,len(df.index)+1)\n",
    "df_residual"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "4825.5"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_residual.loc[df_residual.index[2850/2],df_residual.columns[0]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 0, 'Hours')"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAZkAAAEiCAYAAAArqK94AAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADh0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uMy4yLjIsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy+WH4yJAAAgAElEQVR4nO3dd3wUdf748dc7vZBAIAmhhdAJvUSkg2JDQFHuDvHsBTzA7ump5513ep69i4IFlFPh+7MiFgQhIi0SirTQCSWUJJQAIZD2+f0xE9ksIXU3u0nez8djH0lmPjPz/uxu9j2fMrNijEEppZRyBx9PB6CUUqr20iSjlFLKbTTJKKWUchtNMkoppdxGk4xSSim30SSjlFLKbTTJKJcQkVtExIhIXDnKzhCRVDfHE2fHc0s5yhoRedKd8ZRy7EQRSfTU9u5UHa+z8n6aZGoZhw/7oke+iKTZ//DNPB2fql1EpIuIPFmekwtVN/l5OgDlNk8CO4AgoC9wCzBIRLoYY3LccLyZwCzgjBv2rbxXF+CfQCKQ6rTuTvREts7TJFN7zTPGrLB/f09EDgMPA6OA/3P1wYwxBUCBq/erqpeIhBhjTrliX8aYPFfsxxuJiACBxpjTno7F2+lZRt2x2P7ZxnGhiLQTkVkikiEiZ0RkvYjc6ryxiEy012WLyBERWSUidzmsL3FMRkRuFZGtInJaRH4TkVEl7Huove3QEtYVGy8RkZYiMkVENovIKRE5JiLfiEjnCj4fpRKRWBH5WEQy7djXishNJZR7SESWOpRbLyK3l1BORORhEdktIjkislxE+lcgnnJtX8rrcM4Yld2Fetp+Tr8SkSzgO3tdN3v9DrtMhoh8KiItHI8FfGr/ucihi/YWh/2nOsXhIyKP2O+JM3ZX7hsiUt+pXKL9GrcTkR/s990hEfmviJTrc0tEEuz3xhH7vbJBRB51OkZiCds9KSLGaZkRkXdE5I8isg6rxX6dvc9fznP8c9aJyHUikmTHk2XH16k89amptCVTd8TZP48ULRCReGApkAm8DBwDRgAfiEh9Y8yrdrnbgbeAz4E3AX+gMzAQeOd8BxSRm4EPgJX29o2xutX2VqEeFwBDgC+wumeaAncBi0WkszHmYBX2DYCIRGI9Lw2BN4D9wHXAhyISYYx5zaH4/cD3WK1DA1yD1XL0NcZMcyj3D6wuzAXAC0A7YC5wlPI9H1Xd/nx8gB+xXqOHgXx7+aVAR+B/wD6gLdbzfIGIdLW7XBdjva6TgGeAFHvbZaUcbwowAZgDvIbV3TYRuFBEBji1furb9Z0LfAVcAfwN2AU4PrfnEJFhwLfAYaz3bBrQAbgK+G9p25ZiEPAHe38Hgc1YXcT/FpHmxph9DsfvjPU/Mtlh2SPAs1jv3Y+Aenbdl4pIL2PMrkrG5d2MMfqoRQ+ssRcDXA5EAs2BMUA6cApo6lD2R2ATEOK0j9nAcSDU/vtLYEM5jxtn/+2H9Y+4EQhyKHeZXS7VYdlQe9nQEvZrgCcd/g4poUxb4DTwuMOyOHvbW8rxnDkf40V72TCHZQFAEnASqF9GPPOBbQ5/R2Kd+c4HfByWj7ePk1hGfOXe3vl1KO35AGbYy14u4Zgl1WugXf7PDsuuK+W1m+H0Onexy850KnevvfwOh2WJzsvs5WuBlWU8Xz5Y45H7gSindeJ0jHOee6xkbkp4jxQCPZyWt7HXPei0/GmshN3Y/jsWyHN8n9nLm2Cd3L1f1vu0pj60u6z2+gHIwDrL/QwraYw0xuwHEJEI4BKsM/AQEYksemCdmYcBCfa+jgPNRaRPBY5/AVbL5R3j0G9tjClKbJViHMYLRCRERBph/ZNuBXpXdr9ORgJrjDE/ORw3F3gVCMVKisXiERF/EWloP38LgbYOXUCXYiWp140xhQ7HmW7HXpaqbl+WKc4LnJ7nevbzvNk+XmWf55H2zxeclr+D9R4b4bT8NFYdHf0MtC7jOL3sMq8aYzIcVxj7k72Slhlj1jrtbweQDIx1KjsWWGSMOWT/fS3Widcsp/+1PKyTl4urEJdX0yRTe92D9eH0B6yk0ZjiA/PtAMGaGZTh9Cj6x462fz6HdQafZPfRvyMiZf1TtLR/bilhXUnLykVEgkTkeRHZD2RjdfVlAF2BBpXdr5M4rA9UZ5sc1hfFc7WIJAM5WF0zGVhdR2B198B5ngtjdQ2Vp4ukqtuXppBzZ4UhIhEiMlWsCSMnOPs8N6Dyz3Mc1lm/cz3OADtxeF5t+4w1ocTRUaxuzNIUjTuur1SU57fjPMtnYXUjtgYQkd5YretZDmXa2z9TOPf/7TLO/q/VOjomU3utNPbsMhH5Cqv//BMR6WCMOcnZE4xXsAd7S7AewBizSUQ6AMOxuuFGAhNEZKox5q7zbCv2z5LOHMXp7xLPLkXEt4TFrwF3YI2VLAWysD4oX8X9J03F4haRAVhdiUuwxhkOALnAlVhjNT5O25XnuSjtuJV+LoGSnkuAPGNMfgnLZwGDsboO12AlGmMvd8fzLJwbe2VnK5b2fDkylPz8n++5Ot/U/9lYrbPrsE4wrsNqoXzhUKboORvO2XEvR7V2ZqYmmTrAGFNgDzr+gtXCeQbrzBEg3xizoBz7yMbqdvtMRPyAD7ESzVPGmLQSNkm1f3bEGktw1N7p76P2T+cz5LgS9jsW+MgYc5/jQrv7L7O0OlRAKlbczjo6rAf4I1aXzmWOXYIiclEJ+yvafptDOX+sOv5WjnjKu31FnssSiUgDrLPrJ40x/3JYHgREOBWvSPdTKtaHegdgncN+A4BWWN2MrrDd/tkVq9v4fI5SctdbXEUOZozZJyJLgLEi8l/gT1iXEBx1KFbUCtpjjKl0d3FNpN1ldYQxZgmwHLhPRIKNMelY/9TjHaelFhGRKIffGzntK5+zHxLOHzpFkrEmG0ywP5yK9nUZ4DxlMxXrTM75w3ky5yrg3BbFOKxZZq4yF+jpmCzsD/R7sSZPJDrEYnD4P7KT3W1O+5uP1cK5x2n67a2Ur+upItsXfcA6P5eTynGcIkXjPs5n+Y6tsyLZ9s/zvQ8cfWv/fMBp+QQg3GF9Va3GOom6z/m9KyKOddoOxItIY4f1zYDRlTjmp0A34HasQf5ZTus/w2rB/KukKdiO/2+1jbZk6pYXsaYhF3U3/QWry2mdiLyLdZYciTVwejnWPz7AjyKSjtUtdBCrv/lurO60Es/KjDF59jUJ72NNL/4Yq995EtaMs3oOZY+LyKfAJPv6hC1YH5IlnWXOAW4SkePABqAHVutmZwllK+tZrC6Pb0TkdaxusLFYd0643xiTZZf7BusDc76IzMQaK7gT6zmKcahfpog8BzwBzLO7L9sBN5cn7opsb3dtLgH+IyINgUNY03bLGsdw3Mdx+/qRh+1Wxm6smWVDsMadHK3GSkqP2i2gHCDJlDAd1xizXkSmYp141MdKnl2wksxKrNZxlRljCsW6hutbYK2IfIA1hbktMMB+ALwHPIj1/n4XK2H/BWsSSa8KHvYz4HWsSwFygK+dYtolIg/b61eIyBdYlxO0xOpeTcKaIl77eHp6mz5c++DsFNa+JazzwUokuwF/e1ks1j9bGtbZ8n6saxPGO2w3HuvsPQNrKu0urH+o6BKOG+d0zNvtY57Bav2Mwmlqq12uIdbZ3wmscZZPgCjOnV4cjnWNxCGss+ifsWayJVJ8Km8clZzC7PC8fIL1oXoaq0vqphK2vQlrMPc01pnxA1gtjGLPBVar4G9Ys/1ygBVAf+e4S4mx3NtjfXB9j9XqysS6lqWz8/Nhvw6nz3O8JlgzDw9jzfyai/UhnQrMOM9rnO94jPO8zj7AI3b5ovfbmzhMC7fLJQKbS4jrSZymF5fynPXD6i47br9X1gOPOJX5E1ZSybVfx3ElHcOu1ztlHO8Hu9z/K6XMCGCRHdMp+3mYDlzgqc8Mdz/ErrhSSinlcjomo5RSym00ySillHIbTTJKKaXcRpOMUkopt9EpzE4iIyNNXFycp8NQSqkaZdWqVZnGmHOu99Ek4yQuLo7k5GRPh6GUUjWKiOwuabl2lymllHIbTTJKKaXcRpOMUkopt9Eko5RSym00ySillHIbnV2mVB1VWFjIvn37yM7OLruwqtP8/f2Jjo4mPDy87MJONMkoVUdlZmYiInTo0AEfH+3UUCUzxpCTk0NamvXdhBVNNPrOcpFPkvawZJurvphRKfc7duwYjRs31gSjSiUihISE0KxZM9LT0yu8vbZkXCA3v5A3F24jpn4QA9tFejocpcqloKAAf39/T4ehaojg4GDy8vIqvJ2ewrhAgJ8PveMaciQ719OhKFUhxb+NWKnzq+x7RZOMizQI9icrp+JZXimlajNNMi5S304yhYX6TaNKKVVEk4yLNAjxp9DAiTP5ng5FKVUBqampiEipN8ZNTk5GREhNTXXpsW+55RZGjhxZpdhcoWimYWJiosv3rQP/LhIebA2gHs/Jo36wDqYqVVO0aNGCAwcOEBmpk3bcQVsyLtLATizHTum4jFLVJTe36pNtfH19iYmJwc9Pz7ndQZOMixS1XnTwXyn3GTp0KH/5y1946KGHiIqKYsCAAQBs2rSJESNGEBYWRnR0NOPGjePgwYO/b7d+/XqGDRtGeHg4YWFhdO/enUWLFgEld0n98MMPdOzYkaCgIAYNGsTWrVuLxTFjxgzq1atXbFliYiIiQmamdb3c4cOHGTduHM2bNyc4OJjOnTszffr0Kj8Hixcv5sILLyQoKIjGjRtz//33F0u2P/zwA4MGDSIiIoKGDRty+eWXk5KSUmwfK1eupHfv3gQFBdGzZ0+SkpKqHNf5aOp2kbAgK8mcOK1JRtVM//pmI5v2H6/WY3ZqGs4/R3Wu0Db/+9//GD9+PL/88gvGGA4cOMDgwYO5/fbbefHFF8nLy+Pxxx/nqquuYsWKFfj4+HD99dfTvXt3fv31V/z8/Fi/fj1BQUEl7n/v3r2MHj2aO++8k0mTJrFu3ToeeOCBCtft9OnT9OrVi0ceeYTw8HAWLFjAhAkTiI2NZdiwYRXeH0BaWhrDhw/nxhtvZMaMGezYsYM77rgDHx8fXnrpJQCys7O577776NatGzk5OTz99NOMGjWKTZs2ERAQQHZ2NiNGjGDIkCF8+OGHpKWlcd9991UqnvLQJOMiIQG+AOTkFXg4EqVqt1atWv3+gQrwj3/8g+7du/Pcc8/9vuyjjz6iYcOGJCcn06dPH3bv3s1DDz1Ex44dAWjbtu159//2228TGxvL66+/jojQsWNHtm7dyhNPPFGhOJs1a8Zf//rX3/8eP348Cxcu5NNPP610kpkyZQpNmjRhypQp+Pj4EB8fz7PPPsuECRN46qmnCAkJYcyYMcW2mT59OuHh4fz6668MHDiQjz/+mNzcXKZPn069evXo0qULjz/+ODfeeGOlYiqLJhkXCdYko2q4irYoPKV3797F/l61ahWLFy8+p/sKYMeOHfTp04cHHniAO+64gw8//JBhw4YxZsyY3xOOs5SUFPr27Vvs4sN+/fpVOM6CggKeffZZZs+eTVpaGmfOnCE3N5ehQ4dWeF+OsfXr16/YrYAGDhxIbm4u27dvp1u3buzYsYMnnniCpKQkMjIyKCwspLCwkD179vy+j27duhV7vipTv/LSMRkXCfK3kszpvEIPR6JU7RYaGlrs78LCQkaMGMHatWuLPbZt2/b79OAnn3ySTZs2MXr0aJYtW0a3bt344IMPSty/MWVf6+bj43NOOedbrrz44ou89NJL/PWvf+Wnn35i7dq1jB49ukqTFYwx573yvmj5qFGjyMjIYOrUqSQlJbFmzRr8/Px+P2556udKmmRcJPj3JKMtGaWqU69evdi4cSMtW7akbdu2xR5hYWG/l2vXrh333HMP3377Lbfffjvvvfdeifvr1KkTSUlJxT6MV6xYUaxMVFQUp06d4vjxs2NYa9euLVZmyZIljBo1ihtvvJEePXrQpk2bcyYQVFSnTp1Yvnw5hYVnT2aXLFlCQEAAbdq04fDhw6SkpPDYY49xySWXEB8fz4kTJ8jPzy+2j/Xr1xf7igfn+rmSJhkX8fcV/H2FY6f0/mVKVadJkyaRlZXF2LFjSUpKYufOnSxYsIDx48dz4sQJcnJymDRpEomJiaSmppKUlMSSJUvo1KlTifu76667SE1N5b777mPLli189tlnvPPOO8XKXHjhhYSGhvLoo4+yfft2Pv/8c6ZMmVKsTPv27fnpp59YsmQJmzdvZvLkyezatatKdZ04cSL79+9n4sSJpKSk8O233/K3v/2NyZMnExISQkREBJGRkbz77rts376dn3/+mbvuuqvY9Ozrr78ePz8/brvtNjZu3Mj8+fP5z3/+U6W4SqNJxkVEhO7NG7Bk+2FPh6JUndK0aVOWLl2Kj48PV1xxBZ07d2bSpEkEBgYSGBiIr68vR48e5eabb6ZDhw5cc8019OvXj5dffrnE/cXGxvLFF1/www8/0L17d1555RWeffbZYmUaNmzIxx9/zPz58+natSvTpk3jqaeeKlbm73//O3369GH48OEMHjyY0NBQ/vznP1eprs2aNeP7779nzZo19OjRg9tuu41x48bxzDPPAFY33uzZs1m3bh1dunRh0qRJPPXUUwQGBv6+j3r16jF37ly2bdtGr169eOihh4pNmnA1qe7+OW+XkJBgKnsLhxfmbWbqzzvZ+O/LCfTzdXFkSrlWSkoK8fHxng5D1SClvWdEZJUxJsF5ubZkXKhz0/rkFxo2Hzjh6VCUUsoraJJxoZ6xDQBYs+eohyNRSinvoEnGhZrUDyY8yI8th056OhSllPIKmmRcLL5JOD9vSa/2uehKKeWNNMm42LW9mrE/6zTLd+gsM+X99GRIlVdl3yuaZFxsVPemBPn78N2GA54ORalS+fr6nnOVulLnk5OTg79/xb8rS5OMi4UE+DG4XRQ/pWiXmfJuDRo04NChQ8WuHlfKmTGGU6dOkZaWRnR0dIW31xtkusFFHaP5cdMhlmzPZFC7KE+Ho1SJIiMj2bdvH1u2bPF0KMrL+fv707hxY8LDwyu8rSYZNxgWH01YkB/3z/6NlY8PO+8N7ZTyJB8fH2JjYz0dhqrltLvMDaLDgnjw0vZknjxD2rEcT4ejlFIeo0nGTQa2iwTgy9VpHo5EKaU8R5OMm7SNDqN3ywhemr9Vb/+vlKqzqi3JiIiviDwlIrtE5LT982kR8XMoIyLypIjsF5EcEUkUkc5O+wkUkTdEJFNEskVkjog0dyoTISIzRSTLfswUkQbVVdciN/VrCcCClEPVfWillPIK1dmSeQSYBNwDdATutf9+1KHMw8CDwN3ABUA6MF9EwhzKvAqMAcYBg4BwYK6ION72+BOgFzAcuML+fabrq1S6kd2a0iDEn6/X7tfpzEqpOqk6k0x/4BtjzDfGmFRjzBxgDnAhWK0Y4D7gWWPM58aYDcDNQBhwvV2mPnA78FdjzHxjzGrgRqAbcIldJh4rsYw3xiwzxiwHJgAjRaRDNdYXXx/hugtimb/pEL/uOlKdh1ZKKa9QnUlmCXCRiHQEEJFOwMXAd/b6VkAM8GPRBsaYHGAxVoIC6A34O5XZC6Q4lOkHnASWORx7KZDtUKba/GVIG8KD/Hjq200UFmprRilVt1RnknkOq8tqk4jkARuBD40xRd9ZGmP/dB7AOOSwLgYoADLLKJNhHPqn7N/THcoUIyLjRSRZRJIzMjIqXLHS1A/x55+jOrMh7Thz1+utZpRSdUt1JpmxwE1YXV+97N8nisjtTuWcT/elhGXOnMuUVP68+zHGTDPGJBhjEqKiXH+F/uiezejUJJx/zdmoM82UUnVKdSaZF4AXjTGzjDHrjTEzgZc5O/B/0P7p3NqI5mzr5iDgC0SWUSZaHC6zt3+P4txWUrXw9REeHxHP4excnv1+sydCUEopj6jOJBOC1dXlqMAhhl1YCeLSopUiEoQ1g6xofGUVkOdUpjkQ71BmOVAPa2ymSD8glOLjNNVqQNtIxvVpwYxlqfo1AEqpOqM6k8w3wN9EZISIxInINcADwJfw+7jJq3aZa0WkCzADaxD/E7tMFvA+8IKIXCIiPbHGedYBC+wyKcAPwFQR6Ssi/YCpwFxjjEfvBPjPUZ2pH+zPw5//xoEsvd2MUqr2q84kczfwGTAFazbYS8C7wOMOZZ7H6kJ7C0gGmgCXGWNOOJS5H/gCmI01a+wkMMoY49hK+jPwG9YstHn27ze6vkoVE+Tvy+vjenIw6zQ3vJfE3iOnPB2SUkq5lehFgsUlJCSY5ORktx4jcUs6d3+6hgBfH176U3eGdqj4dzQopZQ3EZFVxpgE5+V67zIPGNohmi8n9qd+iD+3zVjJgk162xmlVO2kScZD2kaHMWfyQLo0q8+kT1bz48aDZW+klFI1jCYZD6oX6Mf0Wy6gfeMwJvxvFTNX7PZ0SEop5VKaZDysUb1APrnzQro1b8C/v9nIxv1Zng5JKaVcRpOMFwgL8ue9mxKoHxzA1W8u5ck5G3WKs1KqVtAk4yWiwgL5evIA/pjQnI+WpzL4+UVMW7xDvyJAKVWjaZLxIs0aBPPfa7ux6KGhdG1Wn2e+28zz87ZoolFK1ViaZLxQy0ahfP6X/lzeuTFvJ+7gD+8sZ/Weo54OSymlKkyTjJcSEV4f15N/X92ZrYdOcO2UZbzx0zZPh6WUUhWiScaLBfr5clO/OH55+CL6xDXk5QVbef6HzRzJzvV0aEopVS6aZGqABiEBTL/1Aq7oHMOUxB0MeHYhkz5eTcqB454OTSmlSuXn6QBU+YQG+vH2Db3ZcvAEHy1P5YvVaXy7/gB9WjXkHyM70aVZfU+HqJRS59AbZDqpjhtkukLGiTPM+nUPM1fsJuPkGf45shM39G2Jn682TpVS1e98N8jUJOOkpiSZIqmZ2dz/f2tZs+cYTesHMaZ3cyYMaUO9QG2kKqWqj96FuZaKiwzli7/0572bEmgfE8YbC7dz2cs/s2RbpqdDU0opTTK1gYhwSafGzLi1D7PG9yXAz4cb3k9iwsxkVuw8rBdzKqU8RrvLnNS07rKSHDuVy6sLtvHh8lSMgYSWEfy5byyXd44hJEC70ZRSrqdjMuVUG5JMkROn8/i/5H28tWg7R7JzaVI/iPGDWzOmd3PCg/w9HZ5SqhbRJFNOtSnJFCksNMxPOcQr87ey+eAJIkL8eWp0F67s0gQfH/F0eEqpWkCTTDnVxiRTpLDQsHbfMR77Yj2bD54grlEI1/Zqzp8SWhBTP8jT4SmlajBNMuVUm5NMkfyCQr5eu5/ZyXv5ddcRAvx8+GPv5lzTsxkJcQ09HZ5SqgbSJFNOdSHJONq0/zhTErezIOUQp/MKGdQukj8ltODyzjEE+OnkQ6VU+WiSKae6lmSKZJ/J591fdjJ75V4OZJ2mY0wYj10Zz8C2kTpuo5QqkyaZcqqrSaZIYaHhs1X7ePrbTRw/nU+zBsHc0j+O2wa2wleTjVLqPDTJlFNdTzJFzuQX8OPGQ3z66x6W7ThM75YRPHNNVzrEhHk6NKWUF9IkU06aZM41bfEOXv9pOyfP5NO7ZQQ39m3JlV2b6JiNUup3mmTKSZNMyQ6fPMPnq/cxa+VedmZkExUWyJhezZkwuDURoQGeDk8p5WGaZMpJk0zpCgsNX61N48s1aSzdnkmwvy+Xd4nhvmHtiW0U4unwlFIecr4kozeyUhXi4yNc26s51/ZqztZDJ3jvl518u+4AS7dn8viITlzVvamnQ1RKeRHtVFeV1r5xGM//oTv/767+BPr5cs+na3hx3hYKC7V1rJSyaJJRVdapaTjz7hvMtb2a8eai7Vz79jKSdh7WZKOU0u4y5RrBAb689Mfu9IqN4JnvUhg7bQUNQwP4Y+/m3D6wFdHhem80peoiHfh3ogP/VZd9Jp9v1x1g0ZZ05m08CEDP2AiGto9ibJ8WRIdpwlGqttHZZeWkSca1tqefYM7a/fy8NYPf9mUR5O/DyG5N+cvQNrSJqufp8JRSLqJJppw0ybjPtkMn+GDpLr5ck8bpvEJ6xTbgb8Pj6dNK7/ysVE2nSaacNMm434GsHD5fZV3YeexUHrcNiGPchbE0qR/s6dCUUpV0viRTrbPLRKSJiHwoIhkiclpENonIEIf1IiJPish+EckRkUQR6ey0j0AReUNEMkUkW0TmiEhzpzIRIjJTRLLsx0wRaVBd9VSla1I/mMkXt2P2hH70bd2I1xduZ/Dzi/j3N5s4fjrP0+EppVyo2pKM/SG/FBBgBBAP3A2kOxR7GHjQXn6BvW6+iDjelfFVYAwwDhgEhANzRcTXocwnQC9gOHCF/ftM19dKVUWzBsG8d3MCCx8cwjU9mzF92S4ueiGR2Sv3eDo0pZSLVFt3mYg8Awwxxgw4z3oB9gNvGmP+Yy8Lxko0DxljpopIfSADuNUY87FdpgWwGxhujJknIvHAJmCgMWapXWYg8AvQ0RizpbQ4tbvMc9bvy+Kfczawes8x+rdpxMShbRnQthHWW0Mp5c28obtsNJAkIrNFJF1E1orIZDn7CdIKiAF+LNrAGJMDLAb624t6A/5OZfYCKQ5l+gEngWUOx14KZDuUUV6oa/P6zBrfj8eu7Mj6tCxueD+JsdNWkLTzsKdDU0pVUnUmmdbARGAncDnwGvAsMMleH2P/POS03SGHdTFAAZBZRpkM49BEs39PdyhTjIiMF5FkEUnOyMioYLWUKwX4+TB+cBuSHhvG30fEszMjm7HTVvDHd5axfl+Wp8NTSlVQdSYZH2C1MeZRY8waY8x04HXOJpkizv13UsIyZ85lSip/3v0YY6YZYxKMMQlRUVFlHEpVh5AAP+4Y1JrEvw7lnovb8tu+LK56awl3fJisyUapGqQ6k8wBrLESRylArP37Qfunc2sjmrOtm4OALxBZRploh264ovGeKM5tJSkvVy/Qjwcu60DSo8O4++J2JO8+wrVvL+WRz9ZxICvH0+EppcpQnUlmKdDBaVl7rEF7gF1YCeLSopUiEoQ1g6xofGUVkOdUpjnWTLWiMsuBelhjM0X6AaEUH6dRNUhEaAAPXNqexIeG8qeEFny1No3hr/3C6j1HPR2aUqoU1ZlkXgH6isQKEpoAAB3hSURBVMjjItJWRP4I3AO8Bb+Pm7wK/E1ErhWRLsAMrEH8T+wyWcD7wAsicomI9MSamrwOWGCXSQF+AKaKSF8R6QdMBeaWNbNMeb8GIQH855quzL17ICH+vvzh7WX89/sUTucVeDo0pVQJqvWKfxEZATyD1aLZA7wJvFE0SG93a/0TmABEAEnAJGPMBod9BAEvANcDwcBPwER7lllRmYZY4z1X2YvmAJONMcfKilGnMNccx0/n8cy3KcxauZdmDYLp27oRky9uS6vIUE+HplSdo7eVKSdNMjXP/E2HmL1yD8t3HCavwDBhSGtu6hdHVFigp0NTqs7QJFNOmmRqrvTjp3nmuxS+WrsfPx/h6h7NeOzKjjSqp8lGKXfTJFNOmmRqvu3pJ/g4aQ8fLd9NoJ8P7RqHMaxjNFd1b0qcdqUp5RaaZMpJk0ztsfXQCf63Yjeb9h8nebc1C21w+yiu7BLDJZ0aE6ktHKVcRpNMOWmSqZ0OZOXw8Yo9fLU2jX1Hc/ARSIhryOWdY7isU2NaNAzxdIhK1WhVSjIicguwyBizu6yyNZ0mmdrNGMOmA8eZt/EQP248yOaDJwDo3DScizpEM7pnM9pG6zd2KlVRVU0yZwA/rAsnF9qPRcaYA64O1NM0ydQtqZnZzNt4kHkbD7J6jzXDvVVkKIPbRdKvTSQD20VSL9DPw1Eq5f2qmmSCgYHAUOAiIAHr9i5bsRMOVtKp8bfL1SRTd6Udy+HHjQdZvDWDFTuPkJNXQGiALxd1jKZ/m0gu6hil396p1Hm4dExGREKxbvcyFCvp9LT35V/FOD1Ok4wCyM0vJHn3ET5L3sfSHZkcOn4GgPgm4QztEMXIbk3o3LS+h6NUynucL8lUth8gBzgCHLUfeYDeGlfVGgF+PvRvE0n/NpEYY9iefpKFm9NZuDmdaYt38nbiDkZ1b8oDl7bXOwwoVYrydpcJVmvlIuBirFbMcawvFEsEfq4t9wXTlowqy7FTuUxdvJP3ftlJQaGhR4sGXNm1CVf3aKZ3GVB1VlXHZI4Ap7HuE/YzVlLZ5vIovYAmGVVe+46eYvbKvSzaks6GtOP4+ghD2kdxdY+mDG0fTf2QGt97rFS5VTXJ7ACaYd2wMtF+LDXG5Lo2TM/TJKMqY9uhE3yxJo0vV6dx8PhpfAR6xkYwcWgbhsU39nR4SrldlQf+7e9tucjhEQP8ytmks8wYc8ZF8XqMJhlVFYWFhjV7j/HzlnQ+X51G2rEc+rVuxFU9mnJF5xgiQgM8HaJSbuHyK/5FJI6zs8uuBgKMMTX+smlNMspVTuXmM31pKjOWpZJx4gz+vlZ32uiezbgkvjFB/r6eDlEpl3H1FOYWWMllKNZEgFggxxhT46fZaJJRrlZ0l4Gv1qQx57f9HDp+hrAgPx66rAOjezTTsRtVK1R1TKYpZ1stFwGtgFxgBfaFmMAKY0yeC2P2CE0yyp0KCg1JOw/z0vytrNp9FH9fYWiHaEb3aMaw+Ght3agaq6rXyezDuhZmJfApVlJZZow57boQlar9fH2E/m0j6demERvSjvP1Wqt1M3/TIeoF+vGH3s2ZfHFbvUO0qjXK25K5HPjFGHPK/SF5lrZkVHUrat18tnofX61JI9jfl+svjOW6PrG0idKbdaqaoardZXPKcxBjzFWViM2raJJRnrR6z1HeTtzBos3pFBjDDRe25J5h7fQiT+X1qppkCrHuwJxYWjljzK2VDdBbaJJR3iDjxBme/nYT3/y2n2B/X8ZeEMu9w9rpJAHltaqaZJ4HbsC6Z9l0YIYxZp/Lo/QCmmSUN9mZcZJnvkvhp83phPj7ck2vZlzfpyWdmoZ7OjSlinHFxZi+wAjgNuByrFbN+8DXtWFWWRFNMsobpRw4ztuJO/hhw0HyCgvp3rwBvWIjuGdYWxqE6AWeyvNcfZ1MDHATVsJpCLQ2xpyscpReQJOM8mZZp/J4b8lOft11hOTdRwkN8GVU96Zc07MZvVtGYN3LVqnq5+pb/YcCDYB6wEmgcrcNUEpVSP0Qfx68rAMAa/ceY/rSXXy+eh8fJ+2hRcNghrSPIqFlQ3rFRhDbqMbfgEPVAhXpLgsG/gTcjvXNmF8CHxhjfnJfeNVPWzKqpjl5Jp95Gw4yd91+ft11hOzcAgBaR4YysF0kQ9pHcVGHaHx8tJWj3KeqA//TgLHANqxxmE+NMcdcHqUX0CSjarL8gkK2pZ9kxc7DJG7JYGXqEU7lFtCpSThXdo1hZLemtGwUot1qyuVcMYV5D7CeUrrG9DoZpbxLXkEh/y95H+8v2cmOjGwAIusF0KNFAwa0jWRw+yi94FO5RFXHZD5Cx12UqnH8fX24/sJYrr8wlgNZOczbcJB1+7JYtecoC1LSAWjfuB5XdW/KnxJaEBUWqK0c5VKVvtV/baUtGVVX7D1yioWb0/nmt/0k7z4KQHRYILcMiGNo+2g6xIThq+M4qpxc/n0ytZUmGVUXrdlzlDV7jvHd+gO/J5zQAF+u7dWcR4Z3pF5gZSeiqrpCk0w5aZJRdd3BrNMs25HJgpRDfLf+II1CA7i8SwyjujXlwlYNdZaaKpEmmXLSJKPUWSt2HubDZakkbskgJ6+AVpGh3DusHb1bRtCioV6Ho87SJFNOmmSUOtep3Hx+2HCQZ77bTObJMwC0igzlD72b06dVQ3q2aICfr4+Ho1SepEmmnDTJKHV++QWFbD54gpWpR5j16162HDoBQEiAL71bRnBTvzj6xDXUu0XXQZpkykmTjFLlY4wh/cQZVu0+yq+7jjB33QEyT57Bz0e4rk8LxvWJpVOTcJ0SXUdokiknTTJKVU5eQSFLtmXycdIeErekk19oaBddjxv6tmRA20a0jQ7zdIjKjc6XZDzWiSoij4mIEZE3HZaJiDwpIvtFJEdEEkWks9N2gSLyhohkiki2iMwRkeZOZSJEZKaIZNmPmSLSoLrqplRd5O/rw0Udo3nv5gRWPn4JT4/uQqC/D/+cs5FLXl7M1W8t5eUft7Bi52HyCwo9Ha6qJh5pyYhIX+BT4DjwizFmsr38EeDvwC3AFuAfwECggzHmhF3mbeBq4GbgMPAy1h2hextjCuwy3wOxwJ1Ydyp4D9hpjBlVVmzaklHKdYwx7MjIZkHKIeZtPMhve49RaCDQz4desRFc3aMpw7s2oX6wjuHUdF7TXSYi9YHVWAngH8AGY8xksTpu9wNvGmP+Y5cNBtKBh4wxU+1tM4BbjTEf22VaYH019HBjzDwRiQc2AQONMUvtMgOBX4COxpgtpcWnSUYp9zl+Oo/ELRn8tvcYCzensyszmwBfHy7qGMW1vZpzWafGOoZTQ3lTd9k04DNjzEKn5a2AGODHogXGmBxgMdDfXtQb8HcqsxdIcSjTD+s7bpY57HspkO1QRinlAeFB/lzVvSlPjOzEwgeHMGfyAG7o25JVu48xYeYqRry+hNkr93DyTL6nQ1UuUq33ihCRO4G2wI0lrI6xfx5yWn4IaOZQpgDILKFMjEOZDOPQRDPGGBFJdyjjHNd4YDxAbGxsueqilKoaEaFb8wZ0a96Ax67syPSlqXzy6x4e+Xw9//h6I5d0asyfElowpH2Up0NVVVBtSUZEOgDPAIOMMbmlFHXuv5MSlp2ze6cyJZU/736MMdOwWlgkJCTodDulqpmfrw93Dm7NHYNasXrPMeasTWPuugN8u+4AvWIbcGXXJozq3pTG4UGeDlVVUHV2l/UDIoENIpIvIvnAEGCi/fthu5xzayOas62bg4CvvZ/SykSLQ8eu/XsU57aSlFJeRETo3TKCf13dheWPDuPeYe04lpPH09+m0Pe/P3HdtOUs2pLu6TBVBVRnkvkK6Ar0cHgkA7Ps37diJYhLizYQkSBgEGfHV1YBeU5lmgPxDmWWA/WwklqRfkAoxcdplFJeLMDPh/svbc/CB4ey8MEh3DesPXuP5HDr9JWMm7aCz1ftI1vHbryeRy/GFJFE7Nll9t+PAI9jTWHeijWdeTDnTmG+iuJTmCM4dwpzc6wZbILVFZaqU5iVqtlycgv4YOkuZq/cy54jpwj292VohyhuHdCKC+IidGaaB1X1mzGry/NAMPAWVuJIAi4rSjC2+4F8YLZd9ifgpqIEY/sz8DpnZ6HNASa7N3SllLsFB/gy6aK2TBzahpWpR5m7bj9frE7j+w0HGdw+ilsHxDG0fZQmGy+it5Vxoi0ZpWqWrFN5TF28g1kr93IkO5ch7aN44Y/diA7TSQLVyWsuxvR2mmSUqply8wt595edvDJ/K8EBvlwa35h7hrUjLjLU06HVCTWlu0wppSolwM+HSRe15ZL4xkxJ3M53Gw4w57f9JMRFcEv/OC7vHKPdaB6gLRkn2pJRqnZIO5bD9CW7WLg5nZ2Z2bSODGVk96Zc3yeWmPraleZq2l1WTppklKpd8gsK+Wrtfr5YvY/lOw8T7O/LlV2bcG3PZvRt3QgfH23duIImmXLSJKNU7bU9/QRTf97J9xsOcvJMPs0aBPPqdT24IK6hp0Or8TTJlJMmGaVqv5zcAuanHOLFeVvYe/QUI7o2oW/rRnRv3oCuzet7OrwaSQf+lVLKFhzgy1XdmzKkXRRvJW5n1q97mLvuAABXdI7hzsGt6d0ywsNR1g7aknGiLRml6p7CQsOB46f5YtU+3v55B6dyC+gT15DHRsTTo4V+qW55aHdZOWmSUapuO3kmn/9buZcpiTvIPHmGMb2a8++rOxMaqB0/pfGmLy1TSimvVS/Qj9sGtuLnvw5lwuDWfL56HwOfW8hve495OrQaSZOMUkqVIDTQj0evjGf2+L6EBPgxdtpyvvltP9r7UzGaZJRSqhQXtm7El5P60yqyHnd/uoabp69kyTbnL+dV56NJRimlyhAdFsTXkwbwwKXtSTlwnBveT+L1n7aRm1/o6dC8niYZpZQqhwA/H+4Z1o4lj1zE1T2a8vL8rVw3bTkHs057OjSvpklGKaUqINDPl1fH9uC5MV3ZsP84F7+UyEs/bmH34WxPh+aVNMkopVQFiQhjL4hlwf1DGNg2kjcXbeeiFxOZuWK3TgxwotfJONHrZJRSFXUgK4cHZv/G8p2HiW0YwtgLWnDnoNYE+NWd83i9TkYppdykSf1gPrytD8+N6UrziGBemLeFwc8vYlemdqFpklFKKRcI8PNh7AWxfHJnX969KYHs3Hxum7GSPYdPeTo0j9Iko5RSLnZpp8a8f/MF7Dt6iiteW8zyHYc9HZLHaJJRSik36NOqIXMmD6RBsD93fpTM9vQTng7JIzTJKKWUm8Q3CefdmxPIzS9kzNvLOXS87l1To0lGKaXcqHPT+sye0JecvALGvL2szl1Po0lGKaXcrGdsBLPG9yX9xBmufO0Xlu2oO/c+0ySjlFLVoFdsBF9NHICPj3D7jGSmLd7BmfwCT4fldppklFKqmnRqGs43kwfSp1VDnvluM0NfSGTqzztq9V0CNMkopVQ1iosMZcatF/DBLQm0aBjCf7/fzD2z1no6LLfRJKOUUtVMRLi4Y2Nmj+/LTf1a8s1v+/li9T5Ph+UWmmSUUspDRIQnRnaiR4sGPP1tCqm18DY0mmSUUsqD/H19eP4P3cgvKOSmD36tdd9Po0lGKaU8rH3jMN65oTd7jpzirv+t4nRe7Zl1pklGKaW8QP+2kbx2XQ9+23eMG95L4lRuvqdDcglNMkop5SWu7tGM58d0I3n3Uf7yv9UUFNb8qc2aZJRSyov8MaEFfx8Rz89bM5i6eIenw6kyTTJKKeVl7hjUmis6x/Dqgm1sSMvydDhVoklGKaW80L9HdyY8yI+r31rKpv3HPR1OpWmSUUopLxQdFsSMW/sQFuTHuHdXsHF/zWzRVFuSEZFHRWSliBwXkQwR+UZEujiVERF5UkT2i0iOiCSKSGenMoEi8oaIZIpItojMEZHmTmUiRGSmiGTZj5ki0qA66qmUUq7SpVl9vpw4gJAAX/7w9nK+X3/A0yFVWHW2ZIYCU4D+wMVAPrBARBo6lHkYeBC4G7gASAfmi0iYQ5lXgTHAOGAQEA7MFRFfhzKfAL2A4cAV9u8zXV8lpZRyr1aRoXw9eQDtY8KY/Okapi/d5emQKkQ8dfdPEakHZAGjjTHfiIgA+4E3jTH/scsEYyWah4wxU0WkPpAB3GqM+dgu0wLYDQw3xswTkXhgEzDQGLPULjMQ+AXoaIzZUlpcCQkJJjk52R1VVkqpSjuancv17yWRcuA4X0zsT6/YCE+HVIyIrDLGJDgv9+SYTJh9/KP2362AGODHogLGmBxgMVbrB6A34O9UZi+Q4lCmH3ASWOZwrKVAtkOZYkRkvIgki0hyRkZG1WqllFJuEBEawMd3XEhUWCA3vpfEsu0144vPPJlkXgPWAsvtv2Psn4ecyh1yWBcDFADOz65zmQzj0ESzf093KFOMMWaaMSbBGJMQFRVViaoopZT7NQwNYPb4vkSGBXL3p2tYvuOwp0Mqk0eSjIi8DAwExhhjnG/S49x/JyUsO2eXTmVKKl+e/SillFdrHVWPd29KIMjfl3HvruDZ7zeTm1/o6bDOq9qTjIi8gjVof7ExZqfDqoP2T+fWRjRnWzcHAV8gsowy0fYYT9ExBYji3FaSUkrVOO0bh/HdvYO4JL4x7/y8g9s/XMm+o6c8HVaJqjXJiMhrwPVYCWaz0+pdWAniUofyQVgzyIrGV1YBeU5lmgPxDmWWA/WwxmaK9ANCKT5Oo5RSNVb9YH/euzmBJ0Z2Yun2TAY/v4h/fL2BQi+735lfdR1IRN4CbgRGA0dFpKjFctIYc9IYY0TkVeBxEdkMbAX+jjWI/wmAMSZLRN4HXhCRdOAw8DKwDlhgl0kRkR+AqSJyJ1Y32VRgblkzy5RSqqa5fWArLuoQxQdLd/HR8t0I8K+ru5S5XXWptiQDTLR//uS0/F/Ak/bvzwPBwFtABJAEXGaMOeFQ/n6sa2xm22V/Am5yGtv5M/A6Z2ehzQEmu6QWSinlZVpH1eOpq7vg7+vD9KWpjL0glk5Nwz0dFuDB62S8lV4no5SqqdKPn2bgc4vo3qI+s8f3w8dHyt7IRbzxOhmllFIuFB0exOMj4lmZepS/f73B0+EA1dtdppRSys1u6teS1MPZTF+ayt4jp3jv5gQC/XzL3tBNtCWjlFK1iIjw+JXx3DusHb9sy+Q/36ZwJt/5csTqoy0ZpZSqZfx8fbj/0vYczDrNR8t3sz4ti49u60NYkH+1x6ItGaWUqqWe+0M3Xh/Xk7V7j/HI5+s8EoMmGaWUqsWu6t6UW/u34rv1B/lqTVq1H1+TjFJK1XIPX9GB9o3r8fpP28gvqN77nGmSUUqpWi7I35cHLu3AzsxsZifvrdZja5JRSqk64PLOjekT15BX5m8lJ7f6ZptpklFKqTpARHjwsvZknszl3V92lr2Bi2iSUUqpOqJPq4YMaR/Fy/O38vXa6pkEoElGKaXqCBHh7Rt60aVZOPfOWsuq3UfdfkxNMkopVYeEBPjx8R19iQkP4pYPfmXBpkO480bJmmSUUqqOqR/sz8d3XkhUWCB3fJTMrTNWknUqzy3H0iSjlFJ1UJuoevxw32AeHd6RJdsyuf//1rrlOHrvMqWUqqMC/HyYMKQNWw6dYNn2w245hrZklFKqjmtSP4iMk2coKHT92IwmGaWUquO6NW/AyG5N3PKVANpdppRSddzlnWO4vHOMW/atLRmllFJuo0lGKaWU22iSUUop5TaaZJRSSrmNJhmllFJuo0lGKaWU22iSUUop5TaaZJRSSrmNuPMWzzWRiGQAuyu5eSSQ6cJwvEFtrBPUznppnWqO2livlsaYKOeFmmRcSESSjTEJno7DlWpjnaB21kvrVHPU1nqVRLvLlFJKuY0mGaWUUm6jSca1pnk6ADeojXWC2lkvrVPNUVvrdQ4dk1FKKeU22pJRSinlNppklFJKuY0mGaWUUm6jScYFRGSiiOwSkdMiskpEBnk6pvMRkSdFxDg9DjqsF7vMfhHJEZFEEenstI9AEXlDRDJFJFtE5ohI82qsw2D7mGl2/Lc4rXdJHUQkQkRmikiW/ZgpIg08WK8ZJbx2K7y5XiLyqIisFJHjIpIhIt+ISBenMjXq9SpnnWrca+UummSqSETGAq8BzwA9gWXA9yIS69HASrcFaOLw6Oqw7mHgQeBu4AIgHZgvImEOZV4FxgDjgEFAODBXRHzdHzoA9YANwL1ATgnrXVWHT4BewHDgCvv3mS6tSXFl1QtgAcVfuyud1ntbvYYCU4D+wMVAPrBARBo6lKlpr9dQyq4T1LzXyj2MMfqowgNIAt51WrYN+K+nYztPvE8CG86zToADwOMOy4KBE8AE++/6QC7wZ4cyLYBC4HIP1OckcIur6wDEAwYY4FBmoL2sQ3XXy142A5hbyjY1oV71gAJgVG15vZzrVFteK1c9tCVTBSISAPQGfnRa9SPWWY63am13yewSkVki0tpe3gqIwaE+xpgcYDFn69Mb8HcqsxdIwTvq7Ko69MP6oF/msO+lQDaeredAEUkXka0i8q6IRDusqwn1CsPqQTlq/10bXi/nOhWp6a+VS2iSqZpIwBc45LT8ENY/jjdKAm7Ban7fiRXnMhFpxNmYS6tPDNZZm/PN/bylzq6qQwyQYezTRwD793Q8V88fgJuAYVjdS32AhSISaK+vCfV6DVgLLHeIpyhGRzXp9XKuE9SO18ol/DwdQC3hfEWrlLDMKxhjvnf82x6M3AncDBQNTFamPt5WZ1fUoaTyHqunMWaWw5/rRWQV1h3DRwBflLKpV9RLRF7G6u4ZaIwpcFpdI1+v89Wppr9WrqQtmarJxDobcT6riObcMzOvZIw5CWwE2gFFs8xKq89BrNZbZCllPMlVdTgIRIuIFK20f4/CO+qJMWY/sA/rtQMvrpeIvII1wH2xMWanw6oa+3qVUqdz1KTXytU0yVSBMSYXWAVc6rTqUor3o3otEQkCOmINvu7CemNf6rR+EGfrswrIcyrTHGuQ0hvq7Ko6LMca0O3nsO9+QCjeUU9EJBJohvXagZfWS0ReA67H+jDe7LS6Rr5eZdSppPI14rVyC0/PPKjpD2As1iyRO7DeIK9hDda19HRs54n3RWAI1oDrhcBc4HhRvMAj9t/XAl2AWcB+IMxhH28DacAlWNO2F2H1SftWUx3qAT3sxyngH/bvsa6sA/A9sB7oi/XPvR74xhP1ste9aMcRhzWNdjnW2bHX1gt4y34tLsZqrRQ96jmUqVGvV1l1qqmvldve154OoDY8gIlAKnAG6wxlsKdjKiXWon/gXPsN/jnQyWG9YE1zPgCcBn4GujjtIwh4Azhsfxh+A7SoxjoMxeqTdn7McGUdgIbA/+wPlOP27w08US+sab3zsAZ9c7H692eUELNX1es89THAk65+z1VXvcqqU019rdz10LswK6WUchsdk1FKKeU2mmSUUkq5jSYZpZRSbqNJRimllNtoklFKKeU2mmSUUkq5jSYZpZRSbqNJRik3sr8hcW4JyxPsb0uMq/6olKo+mmSUqqXs7ztSyqM0ySjlBURksIgkichpETkkIq84Jgn7e+/fdNqmWCvJLvO2iLwoIhlYX3CFiEywvzjrtP2d9PNERL/mQ1ULfaMp5WEi0gzrRogzsb5Qrg3wHtZX8T5Ywd3dAEzDuouxiEgC1g0dbwaWAA2wbuyoVLXQJKOU+10hIiedljn2IkzEujnkRGNMIZAiIn8DporIE8aYUxU41i5jzO+JSUSuxfq63jnGmBNYN2v8rVK1UKoStLtMKfdbzNlb+Bc9rndYHw8stxNMkSVAANC2gsda5fT3fKzEsktEPhaRm0UkrIL7VKrSNMko5X6njDHbHR9Y3y1SpLSv0y1aXmiXc+RfQvnsYhtbrZdewJ+APcCjwGYRaVrBOihVKZpklPK8TUA/EXH8fxyI9V0kO+y/M4AmTtt1L8/OjTH5xpiFxphHgW5Y36w4smohK1U+mmSU8rwpQFNgiojEi8gI4FngTYfxmIXAcBG5SkQ6iMjLQIuydiwiI0XkXhHpKSItsbrpwoAU91RFqeJ04F8pDzPGpInIcOAFrK/fPQZ8AjzmUOwDrFbIB/bfU4Avgcgydn8MGI31Vc4hWC2jO4wxv7isAkqVQr8ZUymllNtod5lSSim30SSjlFLKbTTJKKWUchtNMkoppdxGk4xSSim30SSjlFLKbTTJKKWUchtNMkoppdzm/wOYYawuCIaBNgAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df_residual.plot()\n",
    "plt.title(\"Residual load duration curve\")\n",
    "plt.ylabel(\"MW\")\n",
    "plt.xlabel(\"Hours\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>electricity demand</th>\n",
       "      <th>residual load</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>9412.5</td>\n",
       "      <td>9337.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>9411.0</td>\n",
       "      <td>9333.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>9346.5</td>\n",
       "      <td>9271.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>9313.5</td>\n",
       "      <td>9231.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>9309.0</td>\n",
       "      <td>9097.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2846</th>\n",
       "      <td>4054.5</td>\n",
       "      <td>1057.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2847</th>\n",
       "      <td>4039.5</td>\n",
       "      <td>1054.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2848</th>\n",
       "      <td>4035.0</td>\n",
       "      <td>1047.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2849</th>\n",
       "      <td>4023.0</td>\n",
       "      <td>1014.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2850</th>\n",
       "      <td>4015.5</td>\n",
       "      <td>957.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>2850 rows × 2 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      electricity demand  residual load\n",
       "1                 9412.5         9337.5\n",
       "2                 9411.0         9333.0\n",
       "3                 9346.5         9271.5\n",
       "4                 9313.5         9231.0\n",
       "5                 9309.0         9097.5\n",
       "...                  ...            ...\n",
       "2846              4054.5         1057.5\n",
       "2847              4039.5         1054.5\n",
       "2848              4035.0         1047.0\n",
       "2849              4023.0         1014.0\n",
       "2850              4015.5          957.0\n",
       "\n",
       "[2850 rows x 2 columns]"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# df_dem_res means dataframe for demand and residual load\n",
    "df_dem_res = df_demand.join(df_residual)\n",
    "df_dem_res"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>electricity demand</th>\n",
       "      <th>residual load</th>\n",
       "      <th>load_met_by_wind_generation</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>9412.5</td>\n",
       "      <td>9337.5</td>\n",
       "      <td>75.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>9411.0</td>\n",
       "      <td>9333.0</td>\n",
       "      <td>78.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>9346.5</td>\n",
       "      <td>9271.5</td>\n",
       "      <td>75.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>9313.5</td>\n",
       "      <td>9231.0</td>\n",
       "      <td>82.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>9309.0</td>\n",
       "      <td>9097.5</td>\n",
       "      <td>211.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2846</th>\n",
       "      <td>4054.5</td>\n",
       "      <td>1057.5</td>\n",
       "      <td>2997.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2847</th>\n",
       "      <td>4039.5</td>\n",
       "      <td>1054.5</td>\n",
       "      <td>2985.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2848</th>\n",
       "      <td>4035.0</td>\n",
       "      <td>1047.0</td>\n",
       "      <td>2988.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2849</th>\n",
       "      <td>4023.0</td>\n",
       "      <td>1014.0</td>\n",
       "      <td>3009.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2850</th>\n",
       "      <td>4015.5</td>\n",
       "      <td>957.0</td>\n",
       "      <td>3058.5</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>2850 rows × 3 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      electricity demand  residual load  load_met_by_wind_generation\n",
       "1                 9412.5         9337.5                         75.0\n",
       "2                 9411.0         9333.0                         78.0\n",
       "3                 9346.5         9271.5                         75.0\n",
       "4                 9313.5         9231.0                         82.5\n",
       "5                 9309.0         9097.5                        211.5\n",
       "...                  ...            ...                          ...\n",
       "2846              4054.5         1057.5                       2997.0\n",
       "2847              4039.5         1054.5                       2985.0\n",
       "2848              4035.0         1047.0                       2988.0\n",
       "2849              4023.0         1014.0                       3009.0\n",
       "2850              4015.5          957.0                       3058.5\n",
       "\n",
       "[2850 rows x 3 columns]"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_dem_res[\"load_met_by_wind_generation\"] = df_dem_res[\"electricity demand\"] - df_dem_res[\"residual load\"]\n",
    "df_dem_res"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1296x504 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.rcParams[\"font.size\"]=16\n",
    "fig, (ax1,ax2) = plt.subplots(1,2,figsize = (18,7), sharey=True)\n",
    "\n",
    "plt.subplots_adjust(wspace=0.1)\n",
    "\n",
    "fig.suptitle(\"Residual load duration curve\")\n",
    "\n",
    "df_dem_res[[\"electricity demand\",\"residual load\" ]].plot(ax=ax1, color = [\"cornflowerblue\", \"darkorange\"])\n",
    "\n",
    "df_dem_res[[\"residual load\",\"load_met_by_wind_generation\"]].plot(ax=ax2, color = [ \"darkorange\",\"cornflowerblue\"],\n",
    "                                                                kind = \"area\", stacked = True)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>wind generation</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Hours</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>3360.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3351.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3334.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>3280.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>3342.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2846</th>\n",
       "      <td>2797.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2847</th>\n",
       "      <td>2683.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2848</th>\n",
       "      <td>2494.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2849</th>\n",
       "      <td>2490.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2850</th>\n",
       "      <td>2472.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>2850 rows × 1 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       wind generation\n",
       "Hours                 \n",
       "1               3360.0\n",
       "2               3351.0\n",
       "3               3334.5\n",
       "4               3280.5\n",
       "5               3342.0\n",
       "...                ...\n",
       "2846            2797.5\n",
       "2847            2683.5\n",
       "2848            2494.5\n",
       "2849            2490.0\n",
       "2850            2472.0\n",
       "\n",
       "[2850 rows x 1 columns]"
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_wind_generation = df[[\"wind generation\"]]\n",
    "df_wind_generation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "<ipython-input-42-8db7a657761d>:1: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  df_wind_generation.sort_values(by=\"wind generation\", ascending=False, inplace=True)\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>wind generation</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>4222.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>4206.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4198.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4197.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>4158.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2846</th>\n",
       "      <td>46.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2847</th>\n",
       "      <td>46.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2848</th>\n",
       "      <td>45.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2849</th>\n",
       "      <td>43.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2850</th>\n",
       "      <td>40.5</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>2850 rows × 1 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      wind generation\n",
       "1              4222.5\n",
       "2              4206.0\n",
       "3              4198.5\n",
       "4              4197.0\n",
       "5              4158.0\n",
       "...               ...\n",
       "2846             46.5\n",
       "2847             46.5\n",
       "2848             45.0\n",
       "2849             43.5\n",
       "2850             40.5\n",
       "\n",
       "[2850 rows x 1 columns]"
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_wind_generation.sort_values(by=\"wind generation\", ascending=False, inplace=True)\n",
    "df_wind_generation.index = np.arange(1,2851)\n",
    "df_wind_generation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>residual load</th>\n",
       "      <th>wind generation</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>9337.5</td>\n",
       "      <td>4222.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>9333.0</td>\n",
       "      <td>4206.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>9271.5</td>\n",
       "      <td>4198.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>9231.0</td>\n",
       "      <td>4197.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>9097.5</td>\n",
       "      <td>4158.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2846</th>\n",
       "      <td>1057.5</td>\n",
       "      <td>46.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2847</th>\n",
       "      <td>1054.5</td>\n",
       "      <td>46.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2848</th>\n",
       "      <td>1047.0</td>\n",
       "      <td>45.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2849</th>\n",
       "      <td>1014.0</td>\n",
       "      <td>43.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2850</th>\n",
       "      <td>957.0</td>\n",
       "      <td>40.5</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>2850 rows × 2 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      residual load  wind generation\n",
       "1            9337.5           4222.5\n",
       "2            9333.0           4206.0\n",
       "3            9271.5           4198.5\n",
       "4            9231.0           4197.0\n",
       "5            9097.5           4158.0\n",
       "...             ...              ...\n",
       "2846         1057.5             46.5\n",
       "2847         1054.5             46.5\n",
       "2848         1047.0             45.0\n",
       "2849         1014.0             43.5\n",
       "2850          957.0             40.5\n",
       "\n",
       "[2850 rows x 2 columns]"
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_demand2 = df_residual.join(df_wind_generation)\n",
    "df_demand2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x2663ae3c970>"
      ]
     },
     "execution_count": 47,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 864x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "df_demand2.plot(figsize=(12,8), kind=\"area\", stacked = True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1296x504 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.rcParams[\"font.size\"]=16\n",
    "fig, (ax1,ax2) = plt.subplots(1,2,figsize = (18,7), sharey=True)\n",
    "\n",
    "plt.subplots_adjust(wspace=0.1)\n",
    "\n",
    "fig.suptitle(\"Residual load duration curve\")\n",
    "\n",
    "df_dem_res[[\"electricity demand\",\"residual load\" ]].plot(ax=ax1, color = [\"cornflowerblue\", \"darkorange\"])\n",
    "\n",
    "df_demand2[[\"residual load\",\"wind generation\"]].plot(ax=ax2, color = [ \"darkorange\",\"cornflowerblue\"],\n",
    "                                                                kind = \"area\", stacked = True)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>electricity demand</th>\n",
       "      <th>wind generation</th>\n",
       "      <th>residual load</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Hours</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>5151.0</td>\n",
       "      <td>3360.0</td>\n",
       "      <td>1791.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>5046.0</td>\n",
       "      <td>3351.0</td>\n",
       "      <td>1695.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4933.5</td>\n",
       "      <td>3334.5</td>\n",
       "      <td>1599.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4785.0</td>\n",
       "      <td>3280.5</td>\n",
       "      <td>1504.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>4722.0</td>\n",
       "      <td>3342.0</td>\n",
       "      <td>1380.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2846</th>\n",
       "      <td>7648.5</td>\n",
       "      <td>2797.5</td>\n",
       "      <td>4851.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2847</th>\n",
       "      <td>7695.0</td>\n",
       "      <td>2683.5</td>\n",
       "      <td>5011.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2848</th>\n",
       "      <td>7722.0</td>\n",
       "      <td>2494.5</td>\n",
       "      <td>5227.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2849</th>\n",
       "      <td>7810.5</td>\n",
       "      <td>2490.0</td>\n",
       "      <td>5320.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2850</th>\n",
       "      <td>7986.0</td>\n",
       "      <td>2472.0</td>\n",
       "      <td>5514.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>2850 rows × 3 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       electricity demand  wind generation  residual load\n",
       "Hours                                                    \n",
       "1                  5151.0           3360.0         1791.0\n",
       "2                  5046.0           3351.0         1695.0\n",
       "3                  4933.5           3334.5         1599.0\n",
       "4                  4785.0           3280.5         1504.5\n",
       "5                  4722.0           3342.0         1380.0\n",
       "...                   ...              ...            ...\n",
       "2846               7648.5           2797.5         4851.0\n",
       "2847               7695.0           2683.5         5011.5\n",
       "2848               7722.0           2494.5         5227.5\n",
       "2849               7810.5           2490.0         5320.5\n",
       "2850               7986.0           2472.0         5514.0\n",
       "\n",
       "[2850 rows x 3 columns]"
      ]
     },
     "execution_count": 49,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>residual load</th>\n",
       "      <th>wind generation</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Hours</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1791.0</td>\n",
       "      <td>3360.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1695.0</td>\n",
       "      <td>3351.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1599.0</td>\n",
       "      <td>3334.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1504.5</td>\n",
       "      <td>3280.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>1380.0</td>\n",
       "      <td>3342.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2846</th>\n",
       "      <td>4851.0</td>\n",
       "      <td>2797.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2847</th>\n",
       "      <td>5011.5</td>\n",
       "      <td>2683.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2848</th>\n",
       "      <td>5227.5</td>\n",
       "      <td>2494.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2849</th>\n",
       "      <td>5320.5</td>\n",
       "      <td>2490.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2850</th>\n",
       "      <td>5514.0</td>\n",
       "      <td>2472.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>2850 rows × 2 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       residual load  wind generation\n",
       "Hours                                \n",
       "1             1791.0           3360.0\n",
       "2             1695.0           3351.0\n",
       "3             1599.0           3334.5\n",
       "4             1504.5           3280.5\n",
       "5             1380.0           3342.0\n",
       "...              ...              ...\n",
       "2846          4851.0           2797.5\n",
       "2847          5011.5           2683.5\n",
       "2848          5227.5           2494.5\n",
       "2849          5320.5           2490.0\n",
       "2850          5514.0           2472.0\n",
       "\n",
       "[2850 rows x 2 columns]"
      ]
     },
     "execution_count": 51,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_demand3 = df[[\"residual load\",\"wind generation\"]]\n",
    "df_demand3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "<ipython-input-52-adc11ec5f90f>:1: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  df_demand3.sort_values(by=\"residual load\", ascending=False, inplace=True)\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>residual load</th>\n",
       "      <th>wind generation</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>9337.5</td>\n",
       "      <td>75.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>9333.0</td>\n",
       "      <td>78.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>9271.5</td>\n",
       "      <td>75.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>9231.0</td>\n",
       "      <td>78.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>9097.5</td>\n",
       "      <td>82.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2846</th>\n",
       "      <td>1057.5</td>\n",
       "      <td>3028.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2847</th>\n",
       "      <td>1054.5</td>\n",
       "      <td>3619.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2848</th>\n",
       "      <td>1047.0</td>\n",
       "      <td>3300.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2849</th>\n",
       "      <td>1014.0</td>\n",
       "      <td>3210.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2850</th>\n",
       "      <td>957.0</td>\n",
       "      <td>3204.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>2850 rows × 2 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      residual load  wind generation\n",
       "1            9337.5             75.0\n",
       "2            9333.0             78.0\n",
       "3            9271.5             75.0\n",
       "4            9231.0             78.0\n",
       "5            9097.5             82.5\n",
       "...             ...              ...\n",
       "2846         1057.5           3028.5\n",
       "2847         1054.5           3619.5\n",
       "2848         1047.0           3300.0\n",
       "2849         1014.0           3210.0\n",
       "2850          957.0           3204.0\n",
       "\n",
       "[2850 rows x 2 columns]"
      ]
     },
     "execution_count": 52,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_demand3.sort_values(by=\"residual load\", ascending=False, inplace=True)\n",
    "df_demand3.index = np.arange(1,2851)\n",
    "df_demand3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 864x504 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#fig, ax = plt.subplot()\n",
    "\n",
    "df_demand3.plot(figsize = (12,7), kind= \"area\", stacked= True)\n",
    "plt.ylabel(\"MW\")\n",
    "plt.xlabel(\"Hours\")\n",
    "plt.title(\"Decomposing system demand\")\n",
    "plt.legend(labels = [\"Dispatchable generators\", \"Wind generators\"], loc = \"upper right\", fontsize = 10)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>electricity demand</th>\n",
       "      <th>residual load</th>\n",
       "      <th>load_met_by_wind_generation</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>9412.5</td>\n",
       "      <td>9337.5</td>\n",
       "      <td>75.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>9411.0</td>\n",
       "      <td>9333.0</td>\n",
       "      <td>78.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>9346.5</td>\n",
       "      <td>9271.5</td>\n",
       "      <td>75.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>9313.5</td>\n",
       "      <td>9231.0</td>\n",
       "      <td>82.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>9309.0</td>\n",
       "      <td>9097.5</td>\n",
       "      <td>211.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2846</th>\n",
       "      <td>4054.5</td>\n",
       "      <td>1057.5</td>\n",
       "      <td>2997.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2847</th>\n",
       "      <td>4039.5</td>\n",
       "      <td>1054.5</td>\n",
       "      <td>2985.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2848</th>\n",
       "      <td>4035.0</td>\n",
       "      <td>1047.0</td>\n",
       "      <td>2988.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2849</th>\n",
       "      <td>4023.0</td>\n",
       "      <td>1014.0</td>\n",
       "      <td>3009.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2850</th>\n",
       "      <td>4015.5</td>\n",
       "      <td>957.0</td>\n",
       "      <td>3058.5</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>2850 rows × 3 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      electricity demand  residual load  load_met_by_wind_generation\n",
       "1                 9412.5         9337.5                         75.0\n",
       "2                 9411.0         9333.0                         78.0\n",
       "3                 9346.5         9271.5                         75.0\n",
       "4                 9313.5         9231.0                         82.5\n",
       "5                 9309.0         9097.5                        211.5\n",
       "...                  ...            ...                          ...\n",
       "2846              4054.5         1057.5                       2997.0\n",
       "2847              4039.5         1054.5                       2985.0\n",
       "2848              4035.0         1047.0                       2988.0\n",
       "2849              4023.0         1014.0                       3009.0\n",
       "2850              4015.5          957.0                       3058.5\n",
       "\n",
       "[2850 rows x 3 columns]"
      ]
     },
     "execution_count": 59,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_dem_res"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 864x504 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.rcParams[\"font.size\"]=14\n",
    "#fig, (ax1,ax2) = plt.subplots(1,2,figsize = (18,7), sharey=True)\n",
    "\n",
    "#plt.subplots_adjust(wspace=0.1)\n",
    "\n",
    "#fig.suptitle(\"Residual load duration curve\")\n",
    "\n",
    "#df_dem_res[[\"electricity demand\",\"residual load\" ]].plot(ax=ax1, color = [\"cornflowerblue\", \"darkorange\"])\n",
    "\n",
    "df_dem_res[[\"residual load\",\"load_met_by_wind_generation\"]].plot(figsize = (12,7), color = [ \"darkorange\",\"cornflowerblue\"],\n",
    "                                                                kind = \"area\", stacked = True)\n",
    "plt.ylabel(\"MW\")\n",
    "plt.xlabel(\"Hours\")\n",
    "\n",
    "plt.legend(labels = [\"Dispatchable generators \",\"Wind generators\"], loc = \"upper right\", fontsize=14)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>electricity demand</th>\n",
       "      <th>residual load</th>\n",
       "      <th>load_met_by_wind_generation</th>\n",
       "      <th>base_load</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>9412.5</td>\n",
       "      <td>9337.5</td>\n",
       "      <td>75.0</td>\n",
       "      <td>4015.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>9411.0</td>\n",
       "      <td>9333.0</td>\n",
       "      <td>78.0</td>\n",
       "      <td>4015.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>9346.5</td>\n",
       "      <td>9271.5</td>\n",
       "      <td>75.0</td>\n",
       "      <td>4015.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>9313.5</td>\n",
       "      <td>9231.0</td>\n",
       "      <td>82.5</td>\n",
       "      <td>4015.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>9309.0</td>\n",
       "      <td>9097.5</td>\n",
       "      <td>211.5</td>\n",
       "      <td>4015.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2846</th>\n",
       "      <td>4054.5</td>\n",
       "      <td>1057.5</td>\n",
       "      <td>2997.0</td>\n",
       "      <td>4015.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2847</th>\n",
       "      <td>4039.5</td>\n",
       "      <td>1054.5</td>\n",
       "      <td>2985.0</td>\n",
       "      <td>4015.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2848</th>\n",
       "      <td>4035.0</td>\n",
       "      <td>1047.0</td>\n",
       "      <td>2988.0</td>\n",
       "      <td>4015.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2849</th>\n",
       "      <td>4023.0</td>\n",
       "      <td>1014.0</td>\n",
       "      <td>3009.0</td>\n",
       "      <td>4015.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2850</th>\n",
       "      <td>4015.5</td>\n",
       "      <td>957.0</td>\n",
       "      <td>3058.5</td>\n",
       "      <td>4015.5</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>2850 rows × 4 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      electricity demand  residual load  load_met_by_wind_generation  \\\n",
       "1                 9412.5         9337.5                         75.0   \n",
       "2                 9411.0         9333.0                         78.0   \n",
       "3                 9346.5         9271.5                         75.0   \n",
       "4                 9313.5         9231.0                         82.5   \n",
       "5                 9309.0         9097.5                        211.5   \n",
       "...                  ...            ...                          ...   \n",
       "2846              4054.5         1057.5                       2997.0   \n",
       "2847              4039.5         1054.5                       2985.0   \n",
       "2848              4035.0         1047.0                       2988.0   \n",
       "2849              4023.0         1014.0                       3009.0   \n",
       "2850              4015.5          957.0                       3058.5   \n",
       "\n",
       "      base_load  \n",
       "1        4015.5  \n",
       "2        4015.5  \n",
       "3        4015.5  \n",
       "4        4015.5  \n",
       "5        4015.5  \n",
       "...         ...  \n",
       "2846     4015.5  \n",
       "2847     4015.5  \n",
       "2848     4015.5  \n",
       "2849     4015.5  \n",
       "2850     4015.5  \n",
       "\n",
       "[2850 rows x 4 columns]"
      ]
     },
     "execution_count": 66,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Baseload is the load (minimum load)that needs to be supplied with electrcity throughout the time period under consideration\n",
    "df_dem_res[\"base_load\"]= df_dem_res[\"electricity demand\"].min()\n",
    "df_dem_res"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>electricity demand</th>\n",
       "      <th>residual load</th>\n",
       "      <th>load_met_by_wind_generation</th>\n",
       "      <th>base_load</th>\n",
       "      <th>intermediate + peak load</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>9412.5</td>\n",
       "      <td>9337.5</td>\n",
       "      <td>75.0</td>\n",
       "      <td>4015.5</td>\n",
       "      <td>5397.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>9411.0</td>\n",
       "      <td>9333.0</td>\n",
       "      <td>78.0</td>\n",
       "      <td>4015.5</td>\n",
       "      <td>5395.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>9346.5</td>\n",
       "      <td>9271.5</td>\n",
       "      <td>75.0</td>\n",
       "      <td>4015.5</td>\n",
       "      <td>5331.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>9313.5</td>\n",
       "      <td>9231.0</td>\n",
       "      <td>82.5</td>\n",
       "      <td>4015.5</td>\n",
       "      <td>5298.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>9309.0</td>\n",
       "      <td>9097.5</td>\n",
       "      <td>211.5</td>\n",
       "      <td>4015.5</td>\n",
       "      <td>5293.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2846</th>\n",
       "      <td>4054.5</td>\n",
       "      <td>1057.5</td>\n",
       "      <td>2997.0</td>\n",
       "      <td>4015.5</td>\n",
       "      <td>39.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2847</th>\n",
       "      <td>4039.5</td>\n",
       "      <td>1054.5</td>\n",
       "      <td>2985.0</td>\n",
       "      <td>4015.5</td>\n",
       "      <td>24.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2848</th>\n",
       "      <td>4035.0</td>\n",
       "      <td>1047.0</td>\n",
       "      <td>2988.0</td>\n",
       "      <td>4015.5</td>\n",
       "      <td>19.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2849</th>\n",
       "      <td>4023.0</td>\n",
       "      <td>1014.0</td>\n",
       "      <td>3009.0</td>\n",
       "      <td>4015.5</td>\n",
       "      <td>7.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2850</th>\n",
       "      <td>4015.5</td>\n",
       "      <td>957.0</td>\n",
       "      <td>3058.5</td>\n",
       "      <td>4015.5</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>2850 rows × 5 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      electricity demand  residual load  load_met_by_wind_generation  \\\n",
       "1                 9412.5         9337.5                         75.0   \n",
       "2                 9411.0         9333.0                         78.0   \n",
       "3                 9346.5         9271.5                         75.0   \n",
       "4                 9313.5         9231.0                         82.5   \n",
       "5                 9309.0         9097.5                        211.5   \n",
       "...                  ...            ...                          ...   \n",
       "2846              4054.5         1057.5                       2997.0   \n",
       "2847              4039.5         1054.5                       2985.0   \n",
       "2848              4035.0         1047.0                       2988.0   \n",
       "2849              4023.0         1014.0                       3009.0   \n",
       "2850              4015.5          957.0                       3058.5   \n",
       "\n",
       "      base_load  intermediate + peak load  \n",
       "1        4015.5                    5397.0  \n",
       "2        4015.5                    5395.5  \n",
       "3        4015.5                    5331.0  \n",
       "4        4015.5                    5298.0  \n",
       "5        4015.5                    5293.5  \n",
       "...         ...                       ...  \n",
       "2846     4015.5                      39.0  \n",
       "2847     4015.5                      24.0  \n",
       "2848     4015.5                      19.5  \n",
       "2849     4015.5                       7.5  \n",
       "2850     4015.5                       0.0  \n",
       "\n",
       "[2850 rows x 5 columns]"
      ]
     },
     "execution_count": 67,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_dem_res[\"intermediate + peak load\"] = df_dem_res[\"electricity demand\"] - df_dem_res[\"base_load\"]\n",
    "df_dem_res"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 103,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Minimum hour is 19\n",
      "Minimum demand is 4015.5\n"
     ]
    }
   ],
   "source": [
    "minimum_value = df[\"electricity demand\"].min()\n",
    "minimum_index = df[\"electricity demand\"].idxmin()\n",
    "print(\"Minimum hour is \" + str(minimum_index)) \n",
    "print(\"Minimum demand is \" + str(minimum_value))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 104,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Minimum hour is 936\n",
      "Minimum demand is 9412.5\n"
     ]
    }
   ],
   "source": [
    "maximum_value = df[\"electricity demand\"].max()\n",
    "maximum_index = df[\"electricity demand\"].idxmax()\n",
    "print(\"Minimum hour is \" + str(maximum_index)) \n",
    "print(\"Minimum demand is \" + str(maximum_value))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 84,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.patches.ConnectionPatch at 0x2663b383ee0>"
      ]
     },
     "execution_count": 84,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1440x576 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#plt.rcParams[\"font.size\"]=16\n",
    "fig, (ax1,ax2) = plt.subplots(1,2,figsize = (20,8), sharey=True)\n",
    "\n",
    "plt.subplots_adjust(wspace=0.1)\n",
    "\n",
    "df[\"electricity demand\"].plot(ax = ax1)\n",
    "ax1.set_title(\"Chronological demand Curve\")\n",
    "\n",
    "df_dem_res[[\"base_load\",\"intermediate + peak load\"]].plot(ax=ax2, kind = \"area\", stacked = True)\n",
    "ax2.set_title(\"Load duration curve\")\n",
    "\n",
    "#fig.suptitle(\"Residual load duration curve\")\n",
    "\n",
    "from matplotlib.patches import ConnectionPatch\n",
    "\n",
    "con = ConnectionPatch(xyA = (19, 4015.5),\n",
    "                      xyB = (0, 4015.5),\n",
    "                      coordsA=\"data\",\n",
    "                      coordsB=\"data\",\n",
    "                      axesA=ax1,\n",
    "                      axesB=ax2,\n",
    "                      color=\"blue\",\n",
    "                      linestyle = \"dashed\",\n",
    "                      linewidth = 2)\n",
    "ax2.add_artist(con)\n",
    "\n",
    "\n",
    "con2 = ConnectionPatch(xyA = (936, 9412.5),\n",
    "                      xyB = (0, 9412.5),\n",
    "                      coordsA=\"data\",\n",
    "                      coordsB=\"data\",\n",
    "                      axesA=ax1,\n",
    "                      axesB=ax2,\n",
    "                      color=\"blue\",\n",
    "                      linestyle = \"dashed\",\n",
    "                      linewidth = 2)\n",
    "                      \n",
    "ax2.add_artist(con2)\n",
    "\n",
    "\n",
    "\n",
    "#plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 105,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "4015.5"
      ]
     },
     "execution_count": 105,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_dem_res[\"electricity demand\"].min()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 106,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "9412.5"
      ]
     },
     "execution_count": 106,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_dem_res[\"electricity demand\"].max()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}