Forecasting the annual sales of new energy vehicles in China based on the DGM (1, N) model

Abstract

New energy vehicles are of great significance to China’s economy and ecological environment. Selected from 2012 to 2022 new energy vehicles annual sales and 19 related factors data, gray correlation analysis, select the gray correlation of large charging pile ownership, new energy vehicles related enterprise registration, power battery loading, a total of three factors as a variable DGM (1,3) model, calculation parameters, and the validity of the model, the results proved that the model prediction credibility and prediction accuracy is high, the relative error, reasonable expectations for the future policy, industrial planning, investment strategy, etc.