Short Term Prediction of Continuous Time Series Based on Extreme Learning Machine

2017 ◽  
pp. 113-127
Author(s):  
Hongbo Wang ◽  
Peng Song ◽  
Chengyao Wang ◽  
Xuyan Tu
Keyword(s):  
Time Series ◽  
Extreme Learning Machine ◽  
Continuous Time ◽  
Short Term ◽  
Term Prediction ◽  
Learning Machine ◽  
Short Term Prediction

scholarly journals Neural network, ARX, and extreme learning machine models for the short-term prediction of temperature in buildings

2019 ◽  
Vol 12 (6) ◽  
pp. 1077-1093 ◽  
Author(s):  
Primož Potočnik ◽  
Boris Vidrih ◽  
Andrej Kitanovski ◽  
Edvard Govekar
Keyword(s):  
Neural Network ◽  
Extreme Learning Machine ◽  
Short Term ◽  
Term Prediction ◽  
Learning Machine ◽  
Short Term Prediction

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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