A Short-Term Power Load Forecasting Method Using CNN-GRU with an Attention Mechanism

This paper proposes a short-term electric load forecasting method combining convolutional neural networks and gated recurrent units with an attention mechanism. By integrating CNNs and GRUs, the method can fully leverage the strengths of CNNs in feature extraction and the advantages of GRUs in seque...

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Vydané v:	Energies (Basel) Ročník 18; číslo 1; s. 106
Hlavní autori:	Hua, Qingbo, Fan, Zengliang, Mu, Wei, Cui, Jiqiang, Xing, Rongxin, Liu, Huabo, Gao, Junwei
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Basel MDPI AG 01.01.2025
Predmet:	Accuracy Algorithms attention mechanism convolutional neural network Deep learning Energy consumption Environmental protection Forecasting Machine learning Neural networks power load forecasting Power supply Prediction theory Support vector machines Time series China
ISSN:	1996-1073, 1996-1073
On-line prístup:	Získať plný text
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