scholarly journals A hybrid wind speed forecasting model based on a decomposition method and an improved regularized extreme learning machine

2019 ◽  
Vol 158 ◽  
pp. 217-222 ◽  
Author(s):  
Na Sun ◽  
Jianzhong Zhou ◽  
Guangbiao Liu ◽  
Zhongzheng He
Keyword(s):  
Wind Speed ◽  
Extreme Learning Machine ◽  
Decomposition Method ◽  
Forecasting Model ◽  
Wind Speed Forecasting ◽  
Model Based ◽  
Learning Machine

A Hybrid Short-Term Wind Speed Forecasting Model Based on Wavelet Decomposition and Extreme Learning Machine

2013 ◽  
Vol 860-863 ◽  
pp. 361-367 ◽  
Author(s):  
Yi Hui Zhang ◽  
He Wang ◽  
Zhi Jian Hu ◽  
Kai Wang ◽  
Yan Li ◽  
...  
Keyword(s):  
Wind Speed ◽  
Extreme Learning Machine ◽  
Wavelet Decomposition ◽  
Forecasting Model ◽  
Short Term ◽  
Machine Model ◽  
Wind Speed Prediction ◽  
Speed Prediction ◽  
Learning Machine ◽  
Short Term Prediction

This paper studied the short-term prediction of wind speed by means of wavelet decomposition and Extreme Learning Machine. Wind speed signal was decomposed into several sequences by wavelet decomposition to reduce the non-stationary. Secondly, the phase space reconstructed was used to mine sequences characteristics, and then an improved extreme learning machine model of each component was established. Finally, the results of each component forecast superimposed to get the final result. The simulation result verified that the hybrid model effectively improved the wind speed prediction accuracy.

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