2CCIAM - Climate Change Impact Adaptation And Modelling [Lisboa] (Centre for Ecology, Evolution and Environmental Changes
Faculdade de Ciências da Universidade de Lisboa
Edifício C2, 5º Piso, Sala 2.5.46 Campo Grande
1749-016 Lisboa
Portugal - Portugal)
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 SessaConnect in order to contact the contributor Submitted on : Wednesday, October 16, 2019 - 9:48:11 AM Last modification on : Friday, August 5, 2022 - 12:40:06 PM Long-term archiving on: : Friday, January 17, 2020 - 1:14:38 PM
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⟩