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Model-Free Control of Thermostatically Controlled Loads Connected to a
  District Heating Network
v1v2 (latest)

Model-Free Control of Thermostatically Controlled Loads Connected to a District Heating Network

27 January 2017
Bert Claessens
D. Vanhoudt
J. Desmedt
F. Ruelens
    AI4CE
ArXiv (abs)PDFHTML

Papers citing "Model-Free Control of Thermostatically Controlled Loads Connected to a District Heating Network"

5 / 5 papers shown
Model-predictive control and reinforcement learning in multi-energy
  system case studies
Model-predictive control and reinforcement learning in multi-energy system case studies
Glenn Ceusters
Román Cantú Rodríguez
A. García
R. Franke
Geert Deconinck
L. Helsen
Ann Nowé
M. Messagie
L. R. Camargo
157
109
0
20 Apr 2021
Reinforcement Learning for Thermostatically Controlled Loads Control
  using Modelica and Python
Reinforcement Learning for Thermostatically Controlled Loads Control using Modelica and Python
Oleh Lukianykhin
T. Bogodorova
61
1
0
09 May 2020
Convolutional Neural Networks For Automatic State-Time Feature
  Extraction in Reinforcement Learning Applied to Residential Load Control
Convolutional Neural Networks For Automatic State-Time Feature Extraction in Reinforcement Learning Applied to Residential Load Control
Bert Claessens
Peter Vrancx
F. Ruelens
153
129
0
28 Apr 2016
Reinforcement Learning Applied to an Electric Water Heater: From Theory
  to Practice
Reinforcement Learning Applied to an Electric Water Heater: From Theory to Practice
F. Ruelens
Bert Claessens
S. Quaiyum
B. de Schutter
Robert Babuška
R. Belmans
151
143
0
29 Nov 2015
Optimal Demand Response Using Device Based Reinforcement Learning
Optimal Demand Response Using Device Based Reinforcement LearningIEEE Transactions on Smart Grid (IEEE Trans. Smart Grid), 2014
Zheng Wen
D. OÑeill
H. Maei
OffRL
226
242
0
08 Jan 2014
1
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