Details
Title
Short-term wind power combined prediction based on EWT-SMMKL methodsJournal title
Archives of Electrical EngineeringYearbook
2021Volume
vol. 70Issue
No 4Affiliation
Li, Jun : Lanzhou Jiaotong University, Lanzhou, Gansu 730070, China ; Ma, Liancai : Lanzhou Jiaotong University, Lanzhou, Gansu 730070, ChinaAuthors
Keywords
combined model ; empirical wavelet transform ; prediction ; soft margin multiple kernel learning ; wind powerDivisions of PAS
Nauki TechniczneCoverage
801-817Publisher
Polish Academy of SciencesBibliography
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