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...

Full description

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

Internet

https://www.mdpi.com/1996-1073/15/12/4198

Similar Items