The multi-strategy hybrid forecasting base on SSA-VMD-WST for complex system
The multi-strategy hybrid forecasting base on SSA-VMD-WST for complex system
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United States: Public Library of Science
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Language
English
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United States: Public Library of Science
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In view of the strong randomness and non-stationarity of complex system, this study suggests a hybrid multi-strategy prediction technique based on optimized hybrid denoising and deep learning. Firstly, the Sparrow search algorithm (SSA) is used to optimize Variational mode decomposition (VMD) which can decompose the original signal into several Int...
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Full title
The multi-strategy hybrid forecasting base on SSA-VMD-WST for complex system
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TN_cdi_doaj_primary_oai_doaj_org_article_6c3ba98e5f174eca82b72ccd7a6ced92
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_6c3ba98e5f174eca82b72ccd7a6ced92
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ISSN
1932-6203
E-ISSN
1932-6203
DOI
10.1371/journal.pone.0300142
