Research on short-term load forecasting of new-type power system based on GCN-LSTM considering multiple influencing factors

Research on short-term load forecasting of new-type power system based on GCN-LSTM considering multiple influencing factors

With the construction of new-type power system under the ”double carbon” target and the increasing diversification of the energy demand of the user side, the short-term load forecasting of power system is facing new challenges. In order to fully exploit the massive information contained in big data,...

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Bibliographic Details
Main Authors: Houhe Chen, Mingyang Zhu, Xiao Hu, Jiarui Wang, Yong Sun, Jinduo Yang
Format: Article
Language:English
Published: Elsevier 2023-10-01
Series:Energy Reports
Subjects:
New-type power system
Short-term load forecasting
Graph Convolutional Network
Long short-term memory
Correlation analysis
Feature recognition
Online Access:http://www.sciencedirect.com/science/article/pii/S2352484723007941

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http://www.sciencedirect.com/science/article/pii/S2352484723007941

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