Author(s)

YiTong Liu^1*, YiLin Wang²

Affiliation(s)

¹Department of business, Accounting, Xi’an International Studies University, Xi’an 710128, Shaanxi, China.

²Department of business, Business English, Xi’an International Studies University, Xi’an 710128, Shaanxi, China.

Corresponding Author

YiTong Liu

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.

KEYWORDS

New-energy electric vehicles; Multiple linear regression model; Pearson  correlation analysis; ARIMA  time  series analysis

CITE THIS PAPER

YiTong Liu, YiLin Wang. The future development of new energy vehicles based on ARIMA time series prediction model. Journal of Computer Science and Electrical Engineering. 2025, 7(2): 65-70. DOI: https://doi.org/10.61784/jcsee3049.

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