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Comparison between different wind downscaling techniques in a wind power forecast system

  • Stefano Alessandrini
  • , Goffredo Decimi
  • , Dario Ronzio
  • , Paolo Bonelli
  • , Umberto De Angelis
  • , Gian Matteo Cirillo
  • , Federico Fioretti
    • ERSE
    • Enel

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    Abstract

    Most of wind power forecast systems (WPFS) are based on mesoscale meteorological models supplying wind forecast at their resolution. Usually different post-processing techniques are used to downscale the wind reducing systematic errors. In this paper most common statistic procedures, usually called MOS, are compared with more physical ones, like diagnostic models (CALMET) or CFD models. The application of a WPFS, based on the meteorological model RAMS and the different post processing procedures, is described. The wind and power measurements of a wind farm located in the south of Italy, in a complex topography situation, are used as a benchmark.

    Original languageEnglish
    Title of host publicationEuropean Wind Energy Conference and Exhibition 2010, EWEC 2010
    Pages3401-3402
    Number of pages2
    StatePublished - 2010
    EventEuropean Wind Energy Conference and Exhibition 2010, EWEC 2010 - Warsaw, Poland
    Duration: Apr 20 2010Apr 23 2010

    Publication series

    NameEuropean Wind Energy Conference and Exhibition 2010, EWEC 2010
    Volume5

    Conference

    ConferenceEuropean Wind Energy Conference and Exhibition 2010, EWEC 2010
    Country/TerritoryPoland
    CityWarsaw
    Period04/20/1004/23/10

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