Electric Vehicle Charging Load Prediction for Private Cars and Taxis Based on Vehicle Usage Data

Abstract

[EN] Electric Vehicles (EVs) are growing attention fortheir higher efficiency and less-polluting specifications. However,a massive introduction of EVs could lead to several issues inpower systems. Several authors have proposed various smartcharging approaches. But, these approaches could not be ap-propriately implemented without knowing the charging behaviorof the EV customers. Thus, this paper proposes an EV chargingload prediction for the particular case of Quito, Ecuador. Thisforecasting is performed based on data obtained from a GPSsystem and on statistical methods.