A novel hybrid forecasting model with feature selection and deep learning for wind speed research

Documents similaires

• Volatility forecasting incorporating intraday positive and negative jumps based on deep learning model
  par: Yilun Zhang, et autres
  Publié: (2024)
• Explainable machine learning techniques based on attention gate recurrent unit and local interpretable model‐agnostic explanations for multivariate wind speed forecasting
  par: Lu Peng, et autres
  Publié: (2024)
• Probabilistic electricity price forecasting based on penalized temporal fusion transformer
  par: He Jiang, et autres
  Publié: (2024)
• Using deep (machine) learning to forecast US inflation in the COVID‐19 era
  par: David Stoneman, et autres
  Publié: (2024)
• Embedding the weather prediction errors (WPE) into the photovoltaic (PV) forecasting method using deep learning
  par: Adela Bâra, et autres
  Publié: (2024)