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Discussion on A high‐resolution bilevel skew‐t stochastic generator for assessing Saudi Arabia's wind energy resources

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  • Emilio Porcu
  • Jonas Rysgaard
  • Valerie Eveloy

Abstract

We provide a detailed discussion on the analysis presented by Tagle and co‐authors, who suggested an approach to improve earlier models for handling non‐Gaussianity in spatial wind field speed data by simplifying the model formulation to better accommodate large data sets. Our discussion focuses on the energy and socio‐economic context of wind potential assessment in Saudi Arabia – an oil‐rich country, statistical aspects associated with wind field forecasting, and the prediction of the wind electricity production potential from the wind field forecast.

Suggested Citation

  • Emilio Porcu & Jonas Rysgaard & Valerie Eveloy, 2020. "Discussion on A high‐resolution bilevel skew‐t stochastic generator for assessing Saudi Arabia's wind energy resources," Environmetrics, John Wiley & Sons, Ltd., vol. 31(7), November.
    • Handle: RePEc:wly:envmet:v:31:y:2020:i:7:n:e2651
    DOI: 10.1002/env.2651
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    References listed on IDEAS

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    1. Al-Yahyai, Sultan & Charabi, Yassine, 2015. "Assessment of large-scale wind energy potential in the emerging city of Duqm (Oman)," Renewable and Sustainable Energy Reviews, Elsevier, vol. 47(C), pages 438-447.
    2. Dhiman, Harsh S. & Deb, Dipankar & Foley, Aoife M., 2020. "Bilateral Gaussian Wake Model Formulation for Wind Farms: A Forecasting based approach," Renewable and Sustainable Energy Reviews, Elsevier, vol. 127(C).
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