Short-Term Load Forecasting Based on Scene Clustering and Transformer–BiGRU–Attention

To address the insufficient accuracy of short-term load forecasting caused by the strong randomness of distributed energy output, variable electricity consumption patterns, and complex meteorological factors, this study proposes a load forecasting method that integrates K-means scene clustering and...

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Hauptverfasser:	Qinglei Zhang, Yao Wang, Ying Zhou
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	MDPI AG 2026-06-01
Schriftenreihe:	Algorithms
Schlagworte:	deep learning transformer BiGRU attention K-means load forecasting
Online-Zugang:	https://www.mdpi.com/1999-4893/19/6/498
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Short-Term Load Forecasting Based on Scene Clustering and Transformer–BiGRU–Attention

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