Online short-term multi-user load forecasting based on dynamic recognition of spatiotemporal dependencies

To fully and effectively exploit the spatiotemporal correlations among multi-user loads, this paper proposes an online short-term multi-user load forecasting method based on dynamic recognition of spatiotemporal dependencies. A hybrid graph convolutional network-bidirectional long short-term memory...

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Bibliografische Detailangaben

Hauptverfasser:	Minghui Jia, Changlai Yu, Litong Wu, Fangzhou Shao
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	Frontiers Media S.A. 2026-04-01
Schriftenreihe:	Frontiers in Energy Research
Schlagworte:	adaptation dynamic spatiotemporal dependencies graph distance metric graph neural network multi-user load short-term load forecasting
Online-Zugang:	https://www.frontiersin.org/articles/10.3389/fenrg.2026.1710402/full
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