| Issue |
E3S Web Conf.
Volume 512, 2024
2024 International Conference on Urban Construction and Transportation (UCT 2024)
|
|
|---|---|---|
| Article Number | 04027 | |
| Number of page(s) | 4 | |
| Section | Modern Logistics Management and Transportation Economic Analysis | |
| DOI | https://doi.org/10.1051/e3sconf/202451204027 | |
| Published online | 10 April 2024 | |
Forecasting the annual sales of new energy vehicles in China based on the DGM (1, N) model
School of Statistics and Mathematics, Guangdong University of Finance & Economics, Guangzhou, Guangdong, 510320, China
a* Corresponding author: 120282676@qq.com
b david_liu@gdufe.edu.cn
c 714535740@qq.com
New energy vehicles are of great significance to China’s economy and ecological environment. Selected from 2012 to 2022 new energy vehicles annual sales and 19 related factors data, gray correlation analysis, select the gray correlation of large charging pile ownership, new energy vehicles related enterprise registration, power battery loading, a total of three factors as a variable DGM (1,3) model, calculation parameters, and the validity of the model, the results proved that the model prediction credibility and prediction accuracy is high, the relative error, reasonable expectations for the future policy, industrial planning, investment strategy, etc.
© 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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