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cs.LG2023
Multivariate Scenario Generation of Day-Ahead Electricity Prices using Normalizing Flows
Hannes Hilger, Dirk Witthaut, Manuel Dahmen +3
Trading on the day-ahead electricity markets requires accurate information about the realization of electricity prices and the uncertainty attached to the predictions. Deriving acc…
cs.LG2023★ 10 cited
End-to-End Reinforcement Learning of Koopman Models for Economic Nonlinear Model Predictive Control
Daniel Mayfrank, Alexander Mitsos, Manuel Dahmen
(Economic) nonlinear model predictive control ((e)NMPC) requires dynamic models that are sufficiently accurate and computationally tractable. Data-driven surrogate models for mecha…