HackMIT 2021 Project
This project helps one to identify the optimal locations for the installation of new EV charging stations in a city. Since all of us today bear the foul consequences of global warming and climate change due to the unrestricted release of greenhouse gasses into our atmosphere over tens of years, electrification has to be promoted wherever possible to secure the fate and future of our planet, and by extension, us. Thus, we have created an interactive algorithm to find out the perfect places to install electric charging infrastructure in a city that would encourage people to switch from conventional fuel-engine cars to environment-friendly electric cars.
In our study, we take the example of Seattle, WA for our experiment. We found datasets from the afdc.energy.gov website. We then found the population demographics from various sources and created a Deep Neural Network using the aforementioned data taking into account the average population, average household income, and average age for each city neighborhood. Then we deploy the model on the cloud to search for the best points where new EV chargers can be installed. This project is meant to serve any upcoming startups or city planning commissions that may want to set up new charging stations in their city and may search for a similar concept.
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