Application of hybrid model based on empirical mode decomposition, novel recurrent neural networks and the ARIMA to wind speed prediction - Liu, Ming-De; Ding, Lin; Bai, Yu-Long (Energy conversion and management, 2021)
Keywords: administrative management; Autoregressive moving-average models; China; Complexity; Datasets; Decomposition; Electric power generation; Empirical mode decomposition; energy conversion; Entropy; Hybrid system; Long short-term memory neural network; Neural networks; power generation; prediction; Prediction models; Recurrent neural networks; Sequences; Wind power; Wind power generation; Wind speed; Wind speed prediction; China; Empirical mode decomposition; Recurrent neural networks; Long short-term memory neural network; Wind speed prediction; Hybrid system