Optimal Planning of Electric Vehicle Charging Station Based on Spatio-Temporal Distribution Prediction of Charging Demand

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Optimal Planning of Electric Vehicle Charging Station Based on Spatio-Temporal Distribution Prediction of Charging Demand

New Power System | 更新时间：2026-06-26

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- Optimal Planning of Electric Vehicle Charging Station Based on Spatio-Temporal Distribution Prediction of Charging Demand
- Optimal Planning of Electric Vehicle Charging Station Based on Spatio-Temporal Distribution Prediction of Charging Demand
- SUN Liming ，YANG Bo
- 发电技术（英文版） 2026年47卷第2期页码：325-335
- 作者机构：
  1.Guangzhou ShuimuQinghua Technology Co., Ltd., Guangzhou 510000, Guangdong Province, China
  2.Faculty of Electric Power Engineering, Kunming University of Science and Technology, Kunming 650500, Yunnan Province, China
- 作者简介：
  SUN Liming (1977), male, Master’s Degree, Engineer. Research interests focus on active disturbance rejection control (ADRC) for power systems and the application of artificial intelligence in distribution networks. Email: sunliming@shuimutech.cn
  YANG Bo (1988), male, Ph.D., Professor. Research interests focus on optimization and control of new energy systems based on artificial intelligence. Email: yangbo_ac@outlook.com
- 基金信息：
  National Natural Science Foundation of China(62263014);Yunnan Provincial Basic Research Project(202401AT070344;202301AT070836)
- DOI： 10.12096/j.2096-4528.pgt.260210
  中图分类号：
- 修回：2025-12-30 ，
- 稿件说明：
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