EV Charging Infrastructure Development Using Machine Learning

In the recent years, electric vehicles have emerged as not just an alternative but a replacement for internal combustion engine vehicles. In a few years, most vehicles, both private and commercial will be electric. Considering this, reliable predictions need to be made regarding many different factors, so as to smoothly facilitate the shift from internal combustion engine vehicles to electric vehicles. This paper presents a machine learning model that will predict the possible number of electric vehicles that could arise in localities previously dominated by conventional means of transport, so that the EV charging stations can be installed in the right place. This Paper can be used by anybody who is planning to invest in EV charging infrastructure at any place as well as administrative/governing bodies.