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Wind Farm Power Forecasting

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  • Nabiha Haouas
  • Pierre R. Bertrand

Abstract

Forecasting annual wind power production is useful for the energy industry. Until recently, attention has only been paid to the mean annual wind power energy and statistical uncertainties on this forecasting. Recently, Bensoussan et al. (2012) have pointed that the annual wind power produced by one wind turbine is a Gaussian random variable under a reasonable set of assumptions. Moreover, they can derive both mean and quantiles of annual wind power produced by one wind turbine. The novelty of this work is the obtainment of similar results for estimating the annual wind farm power production. Eventually, we study the relationship between the power production for each turbine of the farm in order to avoid interaction between them.

Suggested Citation

  • Nabiha Haouas & Pierre R. Bertrand, 2013. "Wind Farm Power Forecasting," Mathematical Problems in Engineering, Hindawi, vol. 2013, pages 1-5, July.
    • Handle: RePEc:hin:jnlmpe:163565
    DOI: 10.1155/2013/163565
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    Cited by:

    1. Enevoldsen, Peter & Sovacool, Benjamin K., 2016. "Integrating power systems for remote island energy supply: Lessons from Mykines, Faroe Islands," Renewable Energy, Elsevier, vol. 85(C), pages 642-648.

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