A Forecasting Framework for Ultrashort-Term Wind Power Based on Transformer-BiLSTM
In response to the challenges of ultrashort-term wind power forecasting, such as strong nonstationarity, multiscale dynamic features, and sensitivity of model hyperparameters, this paper proposes a novel forecast framework integrating improved complete ensemble empirical mode decomposition with adaptive noise (ICEEMD...