• DocumentCode
    3577552
  • Title

    Short-term solar irradiance and irradiation forecasts via different time series techniques: A preliminary study

  • Author

    Join, Cedric ; Voyant, Cyril ; Fliess, Michel ; Muselli, Marc ; Nivet, Marie-Laure ; Paoli, Christophe ; Chaxel, Frederic

  • Author_Institution
    CRAN, Univ. de Lorraine, Vandoeuvre-lès-Nancy, France
  • fYear
    2014
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    This communication is devoted to solar irradiance and irradiation short-term forecasts, which are useful for electricity production. Several different time series approaches are employed. Our results and the corresponding numerical simulations show that techniques which do not need a large amount of historical data behave better than those which need them, especially when those data are quite noisy.
  • Keywords
    geophysical techniques; numerical analysis; solar power; sunlight; time series; electricity production; irradiation forecasts; numerical simulations; solar irradiance; time series techniques; Forecasting; Market research; Noise; Radiation effects; Time measurement; Time series analysis; Weather forecasting; Meteorological forecasts; big data; electricity production; machine learning; multilayer perceptron; quick fluctuations; solar irradiance and irradiation; time series; trends;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Environmental Friendly Energies and Applications (EFEA), 2014 3rd International Symposium on
  • Type

    conf

  • DOI
    10.1109/EFEA.2014.7059971
  • Filename
    7059971