Charging power forecasting for electric vehicle based on statistical model

Considering three aspects of ensuring energy safety, reducing greenhouse gas emission and competing for technical leading edge of new energy vehicles in the world, the large-scale promotion and application of electric vehicles is an irresistible trend in our country. With Beijing as a research object, a statistical method is used for forecasting charging power of regional electric vehicles in the paper. Based on existing traffic statistical data, and fully considering the randomness of electric vehicle´s charging in time and space, the random distribution model for initial load state and initial charging time is established, to finally work out the regional daily charging load curves for electric vehicles.