Prescriptive Trees for Integrated Forecasting and Optimization Applied in Trading of Renewable Energy

renewable energy forecasting operational forecasting renewable energy sources prescriptive analytics smart grid energy analytics energy meteorology data science artificial intelligence

Domaines

Energie électrique Applications [stat.AP] Machine Learning [stat.ML] Optimisation et contrôle [math.OC]

Georges Kariniotakis : Connectez-vous pour contacter le contributeur

https://minesparis-psl.hal.science/hal-03718662

Soumis le : vendredi 8 juillet 2022-23:47:46

Dernière modification le : vendredi 19 avril 2024-16:18:57

Dates et versions

hal-03718662 , version 1 (08-07-2022)

Identifiants

HAL Id : hal-03718662 , version 1

Citer

Akylas Stratigakos, Simon Camal, Andrea Michiorri, Georges Kariniotakis. Prescriptive Trees for Integrated Forecasting and Optimization Applied in Trading of Renewable Energy. 17th International Conference on Probabilistic Methods Applied to Power Systems, PMAPS 2022, Jun 2022, Manchester - Online, United Kingdom. ⟨hal-03718662⟩

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