Volume 5: Proceedings of 11th International Conference on Applied Energy, Part 4, Sweden, 2019

Variabilty of Long Term Estimates of Hydro Power Generation on a European Scale Valentina Sessa, Edi Assoumou, Sílvia Carvalho

Abstract

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.

Keywords energy modeling; machine learning; hydropower generation; energy and climate systems

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