Short-term wind speed forecasting model based on an attention-gated recurrent neural network and error correction strategy

arXiv:2404.11422v2 Announce Type: replace
Abstract: The accurate wind speed series forecast is very pivotal to security of grid dispatching and the application of wind power. Nevertheless, on account of their nonlinear and non-stationary nature, their short-term forecast is extremely challenging. Therefore, this dissertation raises one short-term wind speed forecast pattern on the foundation of attention with an improved gated recurrent neural network (AtGRU) and a tactic of error correction. That model uses the AtGRU model as the preliminary predictor and …

abstract application arxiv attention cs.ai cs.lg error error correction forecast forecasting grid nature network neural network physics.ao-ph pivotal power raises recurrent neural network security series speed strategy type wind