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Assessment of the benefits of numerical weather predictions in wind power forecasting based on statistical methods

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  • De Giorgi, Maria Grazia
  • Ficarella, Antonio
  • Tarantino, Marco

Abstract

Several forecast systems based on Artificial Neural Networks have been developed to predict power production of a wind farm located in a complex terrain, where geographical effects make wind speed predictions difficult) in different time horizons: 1,3,6,12 and 24 h.

Suggested Citation

  • De Giorgi, Maria Grazia & Ficarella, Antonio & Tarantino, Marco, 2011. "Assessment of the benefits of numerical weather predictions in wind power forecasting based on statistical methods," Energy, Elsevier, vol. 36(7), pages 3968-3978.
    • Handle: RePEc:eee:energy:v:36:y:2011:i:7:p:3968-3978
    DOI: 10.1016/j.energy.2011.05.006
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    References listed on IDEAS

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