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

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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Bibliographic Details
Main Authors:	Qingbo Hua, Zengliang Fan, Wei Mu, Jiqiang Cui, Rongxin Xing, Huabo Liu, Junwei Gao
Format:	Article
Language:	English
Published:	MDPI AG 2024-12-01
Series:	Energies
Subjects:	attention mechanism convolutional neural network power load forecasting
Online Access:	https://www.mdpi.com/1996-1073/18/1/106
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