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Optimal Planning of Electric Vehicle Charging Station Based on Spatio-Temporal Distribution Prediction of Charging Demand
Power Generation Technology Vol. 47, Issue 2, Pages: 325-335(2026)
New Power System|Updated:2026-06-08
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Optimal Planning of Electric Vehicle Charging Station Based on Spatio-Temporal Distribution Prediction of Charging Demand
- “The research team proposed a multi-objective EVCS optimal planning method based on the spatiotemporal distribution prediction of charging demand, established a dynamic road network model and charging demand prediction system, and achieved a win-win situation among investors, users, and the power grid, providing a solution to the problem of mismatched charging supply and demand for electric vehicles.”
DOI:10.12096/j.2096-4528.pgt.260210
Revised:2025-12-30
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Related Author
WANG Kai
SUN Xinwei
SHI Hongsi
WANG Lei
LI Jianlin
PENG Yuchen
WANG Qian
JIANG Xiaoxia
Related Institution
Shandong Suoxiang Intelligent Technology Co., Ltd.
School of Electrical Engineering, Qingdao University
Qingdao Rectifier Manufacturing Co., LTD.
Beijing Hyper Strong Science and Technology Co., Ltd., Haidian District
State Power Investment Group Science and Technology Research Institute Co., Ltd., Changping District

