Now showing items 1-7 of 7

    • Deep learning architectures applied to wind time series multi-step forecasting 

      Manero Font, Jaume (Universitat Politècnica de Catalunya, 2020-07-14)
      Doctoral thesis
      Open Access
      Forecasting is a critical task for the integration of wind-generated energy into electricity grids. Numerical weather models applied to wind prediction, work with grid sizes too large to reproduce all the local features ...
    • Deep learning is blowing in the wind. Deep models applied to wind prediction at turbine level 

      Manero Font, Jaume; Béjar Alonso, Javier; Cortés García, Claudio Ulises (Institute of Physics (IOP), 2019)
      Conference report
      Open Access
      Wind Energy generation depends on the existence of wind, a meteorological phenomena intermittent by nature, with the consequence of generating uncertainty on the availability of wind energy in the future. The grid stability ...
    • “Dust in the wind...”, deep learning application to wind energy time series forecasting 

      Manero Font, Jaume; Béjar Alonso, Javier; Cortés García, Claudio Ulises (2019-06-21)
      Article
      Open Access
      To balance electricity production and demand, it is required to use different prediction techniques extensively. Renewable energy, due to its intermittency, increases the complexity and uncertainty of forecasting, and the ...
    • Forecastability measures that describe the complexity of a site for deep learning wind predictions 

      Manero Font, Jaume; Béjar Alonso, Javier (2021-05-29)
      Article
      Open Access
      The application of deep learning to wind time series for multi-step prediction obtains good results at short horizons. The accuracy of a wind forecast is highly dependent on the specific structure of wind in the specific ...
    • Go with the flow: Recurrent networks for wind time series multi-step forecasting 

      Manero Font, Jaume; Béjar Alonso, Javier; Cortés García, Claudio Ulises (IOS Press, 2018)
      Conference report
      Open Access
      One of the ways of reducing the effects of Climate Change is to rely on renewable energy sources. Their intermittent nature makes necessary to obtain a mid-long term accurate forecasting. Wind Energy prediction is based ...
    • Predicting wind energy generation with recurrent neural networks 

      Manero Font, Jaume; Béjar Alonso, Javier; Cortés García, Claudio Ulises (Springer, 2018)
      Conference report
      Open Access
      Decarbonizing the energy supply requires extensive use of renewable generation. Their intermittent nature requires to obtain accurate forecasts of future generation, at short, mid and long term. Wind Energy generation ...
    • RETBOO, consultas booleanas 

      Manero Font, Jaume (1985)
      External research report
      Open Access
      Retrieval sobre un fichero de información bibliográfica mediante expresiones booleanas entre descriptores (campos de información). Basado en un análisis sintáctico SLR sobre una gramática que utiliza como operadores ...