AI for smart and climate resilient energy systems: the challenges of learning and forecasting hydropower production time series at local and global scale in Europe

Valentina Sessa (1) , Edi Assoumou (1) , Sofia Simoes (2)

1 CMA - Centre de Mathématiques Appliquées
2 LNEG - Laboratório Nacional de Energia e Geologia

Mots clés: Artificial inteligence; Climate resilient energy systems; Machine Learning; Hydropower; Europe

Domaines: Machine Learning [stat.ML]; Intelligence artificielle [cs.AI]; Statistiques [math.ST]

Valentina Sessa, Edi Assoumou, Sofia Simoes. AI for smart and climate resilient energy systems: the challenges of learning and forecasting hydropower production time series at local and global scale in Europe. SophI.A Summit, Nov 2020, Sophia-Antipolis, France. ⟨hal-03016528⟩