Issue |
E3S Web Conf.
Volume 573, 2024
2024 International Conference on Sustainable Development and Energy Resources (SDER 2024)
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Article Number | 02014 | |
Number of page(s) | 4 | |
Section | Oil and Gas Resources Development and Energy Technology Innovation | |
DOI | https://doi.org/10.1051/e3sconf/202457302014 | |
Published online | 30 September 2024 |
New Energy Vehicle Development and Electricity Demand Forecasting Based on Random Forest Model
Economic and Technological Research Institute, State Grid Zhejiang Electric Power Co., Ltd., Hangzhou, Zhejiang, 311500, China
* Corresponding author’s e-mail: xm1234560707@outlook.com
With the implementation of the green economy and the decarbonization strategy, the new energy automobile industry has developed rapidly in China, which poses new challenges to the balance and stability of the power system. This paper predicts the development trend of China's new energy vehicle industry through the random forest model, and analyses the impact of the development of new energy vehicles on power demand. The results show that the number of new energy vehicles in China is expected to increase significantly, accounting for a quarter of the total number of vehicles, and the number of charging piles will increase significantly to meet the demand. With the development of the new energy automobile industry, the demand for electricity and power load in the whole society are expected to maintain rapid growth, which poses new challenges to the power supply stability of the power grid. This study provides an important reference for government regulation, power grid adaptation and new energy vehicle enterprise development planning.
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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