KP-NILM

NILM by using multiple-choice knapsack problem (MCKP).

This is a naïve prototype/demonstration that was initially used when exploring different concepts of UNILM.

If you use my code in your research please cite our UNILM research paper (IEEE example):

A. Rodriguez-Silva and S. Makonin, “Universal Non-Intrusive Load Monitoring (UNILM) Using Filter Pipelines, Probabilistic Knapsack, and Labelled Partition Maps,” p. 6, 2019.

Read more about UNILM on arXiv at https://arxiv.org/abs/1907.06299.

Notes

• You need to install the following packages via pip: prettytable, statistics, scipy, numpy
• Download the house1_power_blk1.csv file from the RAE dataset from Dataverse