Branch error reduction criterion-based signal recursive decomposition and its application to wind po...
Branch error reduction criterion-based signal recursive decomposition and its application to wind power generation forecasting
About this item
Full title
Author / Creator
Xiao, Fen , Yang, Siyu , Li, Xiao and Ni, Junhong
Publisher
United States: Public Library of Science
Journal title
Language
English
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Publication information
Publisher
United States: Public Library of Science
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Scope and Contents
Contents
Due to the ability of sidestepping mode aliasing and endpoint effects, variational mode decomposition (VMD) is usually used as the forecasting module of a hybrid model in time-series forecasting. However, the forecast accuracy of the hybrid model is sensitive to the manually set mode number of VMD; neither underdecomposition (the mode number is too...
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Full title
Branch error reduction criterion-based signal recursive decomposition and its application to wind power generation forecasting
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TN_cdi_doaj_primary_oai_doaj_org_article_723090cad23444d7b4d173ff51a18d2f
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_723090cad23444d7b4d173ff51a18d2f
Other Identifiers
ISSN
1932-6203
E-ISSN
1932-6203
DOI
10.1371/journal.pone.0299955
