Data-driven uncertainty propagation for stochastic predictive control of multi-energy systems

DOI10.1016/j.ejcon.2024.101066MaRDI QIDQ6652236

M. Batu Özmeteler, Deborah Bilgic, Timm Faulwasser, Guanru Pan, Alexander K. Koch

Publication date: 12 December 2024

Published in: European Journal of Control (Search for Journal in Brave)

zbMATH Keywords

uncertainty quantificationpolynomial chaosuncertainty propagationmulti-energy systemsdata-driven controlWillems' fundamental lemma

Mathematics Subject Classification ID

Discrete-time control/observation systems (93C55) Optimal stochastic control (93E20) Model predictive control (93B45)

Cites Work

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• CasADi: a software framework for nonlinear optimization and optimal control
• On the implementation of an interior-point filter line-search algorithm for large-scale nonlinear programming
• A note on persistency of excitation
• Introduction to Uncertainty Quantification
• On a Stochastic Fundamental Lemma and Its Use for Data-Driven Optimal Control

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