A deep learning-based load forecasting algorithm for energy consumption monitoring system using dimension expansion

Abstract As a basic task in energy consumption monitoring system, load forecasting has great effects on system operation safety, generation costs and economic benefits. In this paper, a long-term load forecasting algorithm using data dimension expansion and deep feature extraction is proposed. First...

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Hauptverfasser:	Wei-guo Zhang, Qing Zhu, Lin-Lin Gu, Hui-Jie Lin
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	SpringerOpen 2023-10-01
Schriftenreihe:	EURASIP Journal on Advances in Signal Processing
Schlagworte:	Data dimension expansion Deep learning Feature extraction Load forecasting
Online-Zugang:	https://doi.org/10.1186/s13634-023-01068-1
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