VARIABILTY OF LONG TERM ESTIMATES OF HYDRO POWER GENERATION ON A EUROPEAN SCALE

Abstract : Hydropower is the world's most dominant (86%) source of renewable electrical energy. It strictly depends on the geography and weather peculiarity of locations where power plants are settled. We use machine learning techniques for producing long term estimates of hydro power capacity factors for all European countries based on future climate scenarios.
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https://hal-mines-paristech.archives-ouvertes.fr/hal-02317459
Contributor : Valentina Sessa <>
Submitted on : Wednesday, October 16, 2019 - 9:48:11 AM
Last modification on : Thursday, January 16, 2020 - 1:29:49 AM
Long-term archiving on: Friday, January 17, 2020 - 1:14:38 PM

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Valentina Sessa, Edi Assoumou, Sílvia Carvalho. VARIABILTY OF LONG TERM ESTIMATES OF HYDRO POWER GENERATION ON A EUROPEAN SCALE. Internation Conference on Applied Energy, Aug 2019, Vasteras, Switzerland. ⟨hal-02317459⟩

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