Daily Peak-Valley Electric-Load Forecasting Based on an SSA-LSTM-RF Algorithm
Daily Peak-Valley Electric-Load Forecasting Based on an SSA-LSTM-RF Algorithm
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Publisher
Basel: MDPI AG
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Language
English
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Publisher
Basel: MDPI AG
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Contents
In recent years, with the development of societies and economies, the demand for social electricity has further increased. The efficiency and accuracy of electric-load forecasting is an important guarantee for the safety and reliability of power system operation. With the sparrow search algorithm (SSA), long short-term memory (LSTM), and random for...
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Full title
Daily Peak-Valley Electric-Load Forecasting Based on an SSA-LSTM-RF Algorithm
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TN_cdi_doaj_primary_oai_doaj_org_article_b64b0a60fd7241a79e66ac308d806d29
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_b64b0a60fd7241a79e66ac308d806d29
Other Identifiers
ISSN
1996-1073
E-ISSN
1996-1073
DOI
10.3390/en16247964
