Research on Short-term Wind Speed Prediction Based on Adaptive Hybrid Neural Network with Error Correction

In this paper, the original wind speed data is denoised using singular spectrum analysis to solve the problem of strong randomness and volatility of wind speed Data, and the high-frequency and low-frequency sequences are respectively predicted using CNN-BiLSTM and CNN-BP, while the weights are optimized using the PSO algorithm.