Wind power generation forecasting using least squares support vector machine combined with ensemble empirical mode decomposition, principal component analysis and a bat algorithm

HIGHLIGHTS

• who: Qunli Wu and Chenyang Peng from the Department of Economics and Management, North China Electric Power University, Baoding, China have published the research work: Wind Power Generation Forecasting Using Least Squares Support Vector Machine Combined with Ensemble Empirical Mode Decomposition, Principal Component Analysis and a Bat Algorithm, in the Journal: (JOURNAL) of 28/Oct/2015
• what: This study proposes a hybrid wind power generation forecasting model to enhance prediction performance. Considering the excellent capacity of the BA during the process of parameter optimization, it is the purpose of this study to select the two . . .
  

   

  

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