A Short-Term Load Forecasting Method Based on GRU-CNN Hybrid Neural Network Model
A Short-Term Load Forecasting Method Based on GRU-CNN Hybrid Neural Network Model
About this item
Full title
Author / Creator
Chen, Wei , Hao, Xiaohong , Kong, Chun and Wu, Lizhen
Publisher
Cairo, Egypt: Hindawi Publishing Corporation
Journal title
Language
English
Formats
Publication information
Publisher
Cairo, Egypt: Hindawi Publishing Corporation
Subjects
More information
Scope and Contents
Contents
Short-term load forecasting (STLF) plays a very important role in improving the economy and stability of the power system operation. With the smart meters and smart sensors widely deployed in the power system, a large amount of data was generated but not fully utilized, these data are complex and diverse, and most of the STLF methods cannot well ha...
Alternative Titles
Full title
A Short-Term Load Forecasting Method Based on GRU-CNN Hybrid Neural Network Model
Authors, Artists and Contributors
Author / Creator
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Primary Identifiers
Record Identifier
TN_cdi_proquest_journals_2384138006
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2384138006
Other Identifiers
ISSN
1024-123X
E-ISSN
1563-5147
DOI
10.1155/2020/1428104
