Demand Forecast of Electric Vehicle Charging Stations Based on User Classification

The need of electric vehicle charging stations is described in this paper, and in the paper, the electric vehicle users are classified into three categories, among which Type A users are of strong regular, type B users weak while type C users are randomness. On the basis of historical data, the tenure at a future time is easily to be predicted with the method of multiple linear regressions. Then according to the relevant national policies, the investigation and the Bass diffusion model, the proportion and charging power demand of all types of users can be predicted. Finally, based on the number of all types of users, the request of charging duration, the reserve capacity of routine maintenance, special events and other factors, a reasonable prediction of the conventional charging stations in the particular region is reasonably made. The result of the example shows that the method has strong practicality.