Improved load forecasting method based on TCN-BiGRU and attention mechanism

The accurate anticipation of electricity demand in the short term is crucial for ensuring the safe operation of the power grid and optimizing the power system. However, the existing prediction algorithms often suffer from limited accuracy. To address this issue, this study proposes a novel predictio...

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Veröffentlicht in:	Journal of physics. Conference series 2024-09, Vol.2849 (1), p.12049
Hauptverfasser:	Chen, Qishuo, Jiang, Chuanwen, Lei, Bohan
Format:	Artikel
Sprache:	eng
Schlagworte:	Accuracy Algorithms Electric power demand Electric power systems Electrical loads Prediction models
Online-Zugang:	Volltext
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