Wind speed forecasting can effectively improve the safety and reliability of wind energy generation system. In this study, a novel hybrid short-term wind speed forecasting model is proposed based on the SSA (Singular Spectrum Analysis) method, CNN (Convolutional Neural Network) method, GRU (Gated Recurrent Unit) method and SVR (Support Vector Regression) method. In the proposed SSA-CNNGRU-SVR model, the SSA is used to decompose the original wind speed series into a number of components as: one trend component and several detail components; the CNNGRU is used to predict the trend component, whi...
