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

Valentina Sessa (1) , Edi Assoumou (1) , Sílvia Carvalho (2)

1 CMA - Centre de Mathématiques Appliquées
2 CCIAM - Climate Change Impact Adaptation And Modelling [Lisboa]

Hydro power production strictly depends on the geography and weather peculiarity of locations where power plants are settled. In this paper, we produce long term estimates of hydro power capacity factors for all European countries based on future climate scenarios. We use machine learning techniques for formalizing models able to capture the complex relation between climate variables and energy production on a European scale and use the results of regional and global climate models for future projections.

Mots clés: energy and climate systems; hydropower generation; machine learning; Energy modeling

Domaines: Mathématiques [math]; Optimisation et contrôle [math.OC]; Statistiques [stat]; Machine Learning [stat.ML]

Valentina Sessa, Edi Assoumou, Sílvia Carvalho. VARIABILTY OF LONG TERM ESTIMATES OF HYDRO POWER GENERATION ON A EUROPEAN SCALE. International Conference on Applied Energy, Aug 2019, Vasteras, Switzerland. ⟨hal-02317448⟩