Model-predictive control and reinforcement learning in multi-energy system case studies-Reference-Cited by-同舟云学术

Model-predictive control and reinforcement learning in multi-energy system case studies

Published:2021-12 Issue: Volume:303 Page:117634
ISSN:0306-2619
Container-title:Applied Energy
language:en
Short-container-title:Applied Energy

Author:

Ceusters Glenn^ORCID,Rodríguez Román Cantú^ORCID,García Alberte Bouso^ORCID,Franke Rüdiger,Deconinck Geert^ORCID,Helsen Lieve^ORCID,Nowé Ann,Messagie Maarten,Camargo Luis Ramirez

Publisher

Elsevier BV

Subject

Management, Monitoring, Policy and Law,Mechanical Engineering,General Energy,Building and Construction

Reference69 articles.

1. Detailed white-box NMPC for scalable building HVAC control;Jorissen,2021

2. A methodology for long-term model predictive control of hybrid geothermal systems: The shadow-cost formulation;Cupeiro Figueroa;Energies (Basel),2020

3. Optimal power dispatch and conversion in systems with multiple energy carriers;Geidl,2005

4. A modeling and optimization approach for multiple energy carrier power flow;Geidl,2005

5. Operational and topological optimization of multi-carrier energy systems;Geidl,2005

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