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Poster communications
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.
https://hal-mines-paristech.archives-ouvertes.fr/hal-02317459
Contributor : Valentina Sessa Connect in order to contact the contributor
Submitted on : Wednesday, October 16, 2019 - 9:48:11 AM
Last modification on : Wednesday, November 17, 2021 - 12:31:07 PM
Long-term archiving on: : Friday, January 17, 2020 - 1:14:38 PM
Contributor : Valentina Sessa Connect in order to contact the contributor
Submitted on : Wednesday, October 16, 2019 - 9:48:11 AM
Last modification on : Wednesday, November 17, 2021 - 12:31:07 PM
Long-term archiving on: : Friday, January 17, 2020 - 1:14:38 PM
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ICAE2019_poster-Valentina.pdf
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