Analysis of New Energy Electric Vehicle Development in China Based on Machine Learning

Danqing Wang; Chengan Ouyang; Xinyang Peng

doi:10.54097/vczpwm62

Authors

Danqing Wang
Chengan Ouyang
Xinyang Peng

DOI:

https://doi.org/10.54097/vczpwm62

Keywords:

New energy electric vehicles, Machine learning, Prediction, Stacking.

Abstract

New energy vehicles are an inevitable trend in the future development of the automotive industry. Therefore, it is important to study the development prospects of new energy vehicles. This paper analyzes the main factors of new energy vehicles through the method of machine learning, and predicts the development of new energy vehicles in the next decade. The research reveals that international competition and collaboration, government policies, and technological advancements are the primary factors influencing new energy vehicles. At the same time, although the profit growth rate of new energy vehicles occasionally slows down, it still maintains a growth trend overall. It is expected that the research in this paper can contribute to the further development of the new energy vehicle industry.

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