Statistical approach and multiplicative models for electric vehicles charging behaviour patterns

Abstract Since the charging processes of electric vehicles are stochastic and time-dependent, paper views an approach based on a statistical analysis real data electricity consumption at station connection points. Other types (geographical, public sites, distance between individual stations, etc.) also taken into account when making analysis. Multiplicative models most suitable for studying forecasting time series with pronounced cyclicity seasonality. Their application allows us to consider correlation load in consuming nodes regional features, climatic factors The method discussed this make possible processing large amount detection schedule facilities. results model will identify requested power developing infrastructure.