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Pré-Publication, Document De Travail Année : 2017

Statistical Post-Processing of Weather Forecasts for the Renewable Energy Production by Eolian Devices

Résumé

This paper reviews different statistical methods dedicated to the post-processing of Numerical Weather Predictions and Ensemble Forecast. We focus on the application of the post-processing to problems linked to the production of electricity by eolian devices. The basic idea is to give a concise panorama of the methods commonly used nowadays. We pay a particular attention to the mathematics involved in the methods. We do not compare the methods and do not provide some preferences. Classification. 62-02; 62P12.
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Dates et versions

hal-01499295 , version 1 (31-03-2017)

Identifiants

  • HAL Id : hal-01499295 , version 1

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Lionel Lenôtre. Statistical Post-Processing of Weather Forecasts for the Renewable Energy Production by Eolian Devices. 2017. ⟨hal-01499295⟩
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