A Group Resident Daily Load Forecasting Method Fusing Self-Attention Mechanism Based on Load Clustering

A Group Resident Daily Load Forecasting Method Fusing Self-Attention Mechanism Based on Load Clustering

Daily load forecasting is the basis of the economic and safe operation of a power grid. Accurate prediction results can improve the matching of microgrid energy storage capacity allocation. With the popularization of smart meters, the interaction between residential electricity demand and sources an...

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Bibliographic Details
Main Authors: Jie Cao, Ru-Xuan Zhang, Chao-Qiang Liu, Yuan-Bo Yang, Chin-Ling Chen
Format: Article
Language:English
Published: MDPI AG 2023-01-01
Series:Applied Sciences
Subjects:
daily load forecasting
group resident clustering
Bi-LSTM
self-attention mechanism
Online Access:https://www.mdpi.com/2076-3417/13/2/1165

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https://www.mdpi.com/2076-3417/13/2/1165

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