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

Electric Vehicles (EVs) are growing attention for their higher efficiency and less-polluting specifications. However, a massive introduction of EVs could lead to several issues in power systems. Several authors have proposed various smart charging approaches. But, these approaches could not be appropriately implemented without knowing the charging behavior of the EV customers. Thus, this paper proposes an EV charging load prediction for the particular case of Quito, Ecuador. This forecasting is performed based on data obtained from a GPS system and on statistical methods.