Wind Speed Prediction Based on Improved VMD-BP-CNN-LSTM Model
Chaoming Shu,
Bin Qin,
Xin Wang
Abstract:Amid the randomness and volatility of wind speed, an improved VMD-BP-CNN-LSTM model for short-term wind speed prediction was proposed to assist in power system planning and operation in this paper. Firstly, the wind speed time series data was processed using Variational Mode Decomposition (VMD) to obtain multiple frequency components. Then, each individual frequency component was channeled into a combined prediction framework consisting of BP neural network (BPNN), Convolutional Neural Network (CNN) and Long S… Show more
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