The Future Development of New Energy Vehicles Based on Arima Time Series Prediction Model
Year: 2025
Type: article
Abstract: This paper mainly adopts the evaluation model based on gray correlation method, multiple linear regression model, the secondary polynomial regression model, studied the influence of various factors of new energy vehicles in China and the influence of traditional fuel vehicles, and then choose the prediction of the next ten years, collect new energy vehicles in the past seven years, using the Pearson correlation coefficient test the development of new energy electric vehicles and predictor, found that the strong correlation, and derived the corresponding index of the correlation coefficient. And the ARIMA time series model is used to predict the trend of new energy electric vehicles in the next decade. Research shows that the research and development of new energy electric vehicles is very important for environmental protection. This paper calls on people to buy and ride in new energy electric vehicles to reduce greenhouse gas emissions and promote green development.
DOI: 10.61784/jcsee3049
Authors: YiTong Liu, YiLin Wang
Institution: Xi'an International Studies University
Language: English
Subfield: Electrical and Electronic Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W4408873716