Four wind speed multi-step forecasting models using extreme learning machines and signal decomposing algorithms

The results of two forecasting experiments indicate that: the method of Extreme Learning Machines is suitable for the wind speed forecasting; all the proposed hybrid algorithms have better performance than the single Extreme Learning machines; and in the comparisons of the decomposing algorithms, the Fast Ensemble Empirical Mode Decomposition has the best performance in the three-step forecasting results.