Probabilistic forecasts of wind speed: ensemble model output statistics by using heteroscedastic censored regression

As wind energy penetration continues to grow, there is a critical need for probabilistic forecasts of wind resources. In addition, there are many other societally relevant uses for forecasts of wind speed, ranging from aviation to ship routing and recreational boating. Over the past two decades, ens...

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Hauptverfasser: Thorarinsdottir, Thordis (VerfasserIn) , Gneiting, Tilmann (VerfasserIn)
Dokumenttyp: Article (Journal)
Sprache:Englisch
Veröffentlicht: 2010
In: Journal of the Royal Statistical Society. Series A, Statistics in society
Year: 2010, Jahrgang: 173, Heft: 2, Pages: 371-388
ISSN:1467-985X
DOI:10.1111/j.1467-985X.2009.00616.x
Online-Zugang:Verlag, lizenzpflichtig, Volltext: https://doi.org/10.1111/j.1467-985X.2009.00616.x
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Verfasserangaben:Thordis L. Thorarinsdottir and Tilmann Gneiting
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Probabilistic forecasts of wind speed: ensemble model output statistics by using heteroscedastic censored regression von Thorarinsdottir, Thordis (VerfasserIn) , Gneiting, Tilmann (VerfasserIn) ,


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