Data-driven forecasting of electric vehicle charging for frequency regulation
Electric vehicle (EV) charging may be used in aggregation as virtual batteries to provide a frequency regulating service to the power grid. The service is sold on the Frequency Containment Reserve (FCR) markets, and is traded one and two days ahead. Forecasts of charging patterns are essential to reliably provide this ancillary service. The thesis aims to build a generalized model for forecasting
