Analysis and Development of Electric Vehicle Charging Generator for London Barnet Charging Data

Global warming, air pollution, fossil fuel depletion are the main reasons of the epoch that has called for electrification of the transportation. The expanded reception and utilization of Electric Vehicles has presented novel hurdles for overseeing and fostering the framework required for charging. Arranging a feasible charging framework that can fulfill the different charging prerequisites of EV purchasers as keeping up with ideal asset utilization is one of the serious issues. Analyzing and understanding the charging pattern is the key to planning charging infrastructure. Data analytics can be used to monitor and predict charging behavior. This work focuses on analyzing the real time charging dataset of London Barnet and developing a charging generator based on clustering for the same dataset.