Electric Vehicle Load Forecast Based on Monte Carlo Algorithm

This paper proposes an electric vehicle charging load forecasting method that considers the impact of different types of vehicles. First, the Bass model is used to predict the number of electric vehicles, and the model is verified by predicting and analyzing the number of electric vehicles. It also uses Monte Carlo simulation method to calculate the charging load of electric vehicles. For different types of electric vehicles, the charging characteristics are analyzed by considering the charging period, start time, daily mileage, charging mode, and charging power. Perform superposition to obtain the total charging load curve, and complete the charging load forecast of electric vehicles.