Short-term charging load prediction study of electric vehicle charging stations based on K-Medoids clustering and multi-factor optimization decomposition

Abstract The strong randomness and high volatility of electric vehicle charging behaviour make the accuracy of short-term charging load prediction at charging stations low. Effective electric vehicle charging station charging load prediction is the key to fully and reasonably increase the utilisatio...

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Главные авторы:	Hanting Li, Minan Tang, Jie Cao, Tong Yang, Changyou Wang, Yude Jiang
Формат:	Artigo
Язык:	Inglês
Опубликовано:	Nature Portfolio 2025-10-01
Серии:	Scientific Reports
Предметы:	Electric vehicle Load forecasting Charging stations Neural network
Online-ссылка:	https://doi.org/10.1038/s41598-025-13180-3
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