Deep learning time pattern attention mechanism-based short-term load forecasting method

Accurate load forecasting is crucial to improve the stability and cost-efficiency of smart grid operations. However, how to integrate multiple significant factors for enhancing load forecasting performance is insufficiently investigated in previous studies. To fill the gap, this study proposes a nov...

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Bibliographic Details
Main Authors: Wei Liao, Jiaqi Ruan, Yinghua Xie, Qingwei Wang, Jing Li, Ruoyu Wang, Junhua Zhao
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-07-01
Series:Frontiers in Energy Research
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fenrg.2023.1227979/full