Proceedings of the 3rd International Conference on Bigdata Blockchain and Economy Management, ICBBEM 2024, March 29–31, 2024, Wuhan, China

Research Article

Prediction and Evaluation of the Impact of New Energy Electric Vehicles in China Based on Machine Learning

Download16 downloads
  • @INPROCEEDINGS{10.4108/eai.29-3-2024.2347326,
        author={Weihao Hong},
        title={Prediction and Evaluation of the Impact of New Energy Electric Vehicles in China Based on Machine Learning},
        proceedings={Proceedings of the 3rd International Conference on Bigdata Blockchain and Economy Management, ICBBEM 2024, March 29--31, 2024, Wuhan, China},
        publisher={EAI},
        proceedings_a={ICBBEM},
        year={2024},
        month={6},
        keywords={entropy weighted topsis gradient boosting regression machine learning new energy vehicle sustainable development},
        doi={10.4108/eai.29-3-2024.2347326}
    }
    
  • Weihao Hong
    Year: 2024
    Prediction and Evaluation of the Impact of New Energy Electric Vehicles in China Based on Machine Learning
    ICBBEM
    EAI
    DOI: 10.4108/eai.29-3-2024.2347326
Weihao Hong1,*
  • 1: Heilongjiang University
*Contact email: 1411737600@qq.com

Abstract

Considering the urgency of environmental issues and the importance of sustainable energy development, accelerating the development of China's new energy electric vehicle sector is an important decision. The study analyzed the expansion of Chinese new energy electric vehicle industry from 2002 to 2022 using entropy weighted TOPSIS method and gradient boosting regression method. The findings suggested that annual GDP and investment in renewable energy were two important contributors for the growth of new energy electric vehicles. Furthermore, this study compared six different machine learning models to determine which model was more appropriate for this study. The results showed that the gradient boosting regression model performed well in the forecasting task of this study. Moreover, this study quantitatively analyzed the impact of new energy electric vehicles on environmental improvement and traditional automobile industry. The analysis found that the introduction of new energy electric vehicles would significantly reduce regional environmental pollution index by 43.5% and lower the conventional vehicle development index by 12.99%. The findings showed that new energy electric vehicles had a great impact on the traditional automobile industry and made a significant contribution to improving the environment.