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Model-predictive control and reinforcement learning in multi-energy
  system case studies
v1v2 (latest)

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

20 April 2021
Glenn Ceusters
Román Cantú Rodríguez
A. García
R. Franke
Geert Deconinck
L. Helsen
Ann Nowé
M. Messagie
L. R. Camargo
ArXiv (abs)PDFHTML

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

8 / 8 papers shown
Title
Synthesis of Model Predictive Control and Reinforcement Learning: Survey and Classification
Synthesis of Model Predictive Control and Reinforcement Learning: Survey and Classification
Rudolf Reiter
Jasper Hoffmann
D. Reinhardt
Florian Messerer
Katrin Baumgärtner
Shamburaj Sawant
Joschka Boedecker
Moritz Diehl
S. Gros
128
5
0
04 Feb 2025
Generalized Policy Learning for Smart Grids: FL TRPO Approach
Generalized Policy Learning for Smart Grids: FL TRPO Approach
Yunxiang Li
Nicolas Mauricio Cuadrado
Samuel Horváth
Martin Takáč
51
0
0
27 Mar 2024
An adaptive safety layer with hard constraints for safe reinforcement
  learning in multi-energy management systems
An adaptive safety layer with hard constraints for safe reinforcement learning in multi-energy management systems
Glenn Ceusters
M. A. Putratama
R. Franke
Ann Nowé
M. Messagie
51
4
0
18 Apr 2023
TreeC: a method to generate interpretable energy management systems
  using a metaheuristic algorithm
TreeC: a method to generate interpretable energy management systems using a metaheuristic algorithm
Julian Ruddick
L. R. Camargo
M. A. Putratama
M. Messagie
Thierry Coosemans
28
2
0
17 Apr 2023
Wasserstein Auto-encoded MDPs: Formal Verification of Efficiently
  Distilled RL Policies with Many-sided Guarantees
Wasserstein Auto-encoded MDPs: Formal Verification of Efficiently Distilled RL Policies with Many-sided Guarantees
Florent Delgrange
Ann Nowé
Guillermo A. Pérez
OffRL
60
4
0
22 Mar 2023
Safe reinforcement learning for multi-energy management systems with
  known constraint functions
Safe reinforcement learning for multi-energy management systems with known constraint functions
Glenn Ceusters
L. R. Camargo
R. Franke
Ann Nowé
M. Messagie
60
16
0
08 Jul 2022
Physics Informed Neural Networks for Control Oriented Thermal Modeling
  of Buildings
Physics Informed Neural Networks for Control Oriented Thermal Modeling of Buildings
Gargya Gokhale
Bert Claessens
Chris Develder
PINNAI4CE
66
103
0
23 Nov 2021
Reinforcement Learning for Selective Key Applications in Power Systems:
  Recent Advances and Future Challenges
Reinforcement Learning for Selective Key Applications in Power Systems: Recent Advances and Future Challenges
Xin Chen
Guannan Qu
Yujie Tang
S. Low
Na Li
83
238
0
27 Jan 2021
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