An effective secondary decomposition approach for wind power forecasting using extreme learning machine trained by crisscross optimization

Title
An effective secondary decomposition approach for wind power forecasting using extreme learning machine trained by crisscross optimization
Authors
Keywords
Wind power forecasting, Secondary hybrid decomposition, Empirical mode decomposition, Wavelet packet decomposition, Extreme learning machine, Crisscross optimization algorithm
Journal
ENERGY CONVERSION AND MANAGEMENT
Volume 150, Issue -, Pages 108-121
Publisher
Elsevier BV
Online
2017-08-09
DOI
10.1016/j.enconman.2017.08.014

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