The predictability of wind energy is crucial due to the uncertain and intermittent features energy. This study proposes speed forecasting models, which employ time series clustering approaches deep learning methods. (LSTM) model utilizes preprocessed data as input returns features. Dirichlet mixture dynamic time-warping method cluster time-series then in forecasting. Particularly, warping Next,...
