Self-Attention-Based Short-Term Load Forecasting Considering Demand-Side Management

Self-Attention-Based Short-Term Load Forecasting Considering Demand-Side Management

Accurate and rapid forecasting of short-term loads facilitates demand-side management by electricity retailers. The complexity of customer demand makes traditional forecasting methods incapable of meeting the accuracy requirements, so a self-attention based short-term load forecasting (STLF) conside...

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Bibliographic Details
Main Authors:	Fan Yu, Lei Wang, Qiaoyong Jiang, Qunmin Yan, Shi Qiao
Format:	Article
Language:	English
Published:	MDPI AG 2022-06-01
Series:	Energies
Subjects:	smart grid short-term load forecasting feature engineering variational modal decomposition deep learning Informer
Online Access:	https://www.mdpi.com/1996-1073/15/12/4198

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