Forecasting of wind speed and wind power generation is indispensible for the effective operation of a wind farm, and the optimal management of its revenue and risks. Hybrid forecasting of time series data is considered to be a potentially viable alternative compared with the conventional single...

This study proposes a hybrid forecasting approach that consists of the EWT (Empirical Wavelet Transform), CSA (Coupled Simulated Annealing) and LSSVM (Least Square Support Vector Machine) for enhancing the accuracy of short-term wind speed forecasting. The EWT is employed to extract true...