Short-term residential load forecasting via transfer learning and multi-attention fusion for EVs’ coordinated charging

Short-term residential load forecasting via transfer learning and multi-attention fusion for EVs’ coordinated charging

Accurate load forecasting plays a crucial role in the optimal scheduling of electric vehicles’ (EVs) coordinated charging. Although many load forecasting methods have emerged in recent years, these methods face two significant challenges: effectively capturing the impact of special events on load an...

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Bibliographic Details
Main Authors: Shuhua Gao, Yuanbin Liu, Jing Wang, Zhengfang Wang, Xu Wenjun, Renfeng Yue, Ruipeng Cui, Yong Liu, Xuezhong Fan
Format: Article
Language:English
Published: Elsevier 2025-03-01
Series:International Journal of Electrical Power & Energy Systems
Subjects:
Day-ahead load forecasting
Transformer
Multi-attention fusion
Time series decomposition
Transfer learning
Coordinated charging
Online Access:http://www.sciencedirect.com/science/article/pii/S0142061524005726
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