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Data-driven control of room temperature and bidirectional EV charging
  using deep reinforcement learning: simulations and experiments
v1v2 (latest)

Data-driven control of room temperature and bidirectional EV charging using deep reinforcement learning: simulations and experiments

Applied Energy (Appl. Energy), 2021
2 March 2021
B. Svetozarevic
C. Baumann
S. Muntwiler
L. Di Natale
Melanie Zeilinger
Philipp Heer
    AI4CE
ArXiv (abs)PDFHTML

Papers citing "Data-driven control of room temperature and bidirectional EV charging using deep reinforcement learning: simulations and experiments"

7 / 7 papers shown
Title
Comparative Field Deployment of Reinforcement Learning and Model Predictive Control for Residential HVAC
Comparative Field Deployment of Reinforcement Learning and Model Predictive Control for Residential HVAC
Ozan Baris Mulayim
Elias N. Pergantis
Levi D. Reyes Premer
Bingqing Chen
Guannan Qu
Kevin J. Kircher
Mario Bergés
73
1
0
01 Oct 2025
Data-driven adaptive building thermal controller tuning with
  constraints: A primal-dual contextual Bayesian optimization approach
Data-driven adaptive building thermal controller tuning with constraints: A primal-dual contextual Bayesian optimization approachApplied Energy (Appl. Energy), 2023
Wenjie Xu
B. Svetozarevic
L. D. Natale
P. Heer
Colin N. Jones
AI4CE
137
12
0
01 Oct 2023
Path Planning using Reinforcement Learning: A Policy Iteration Approach
Path Planning using Reinforcement Learning: A Policy Iteration Approach
Saumil Shivdikar
J. Nirmal
OffRL
107
1
0
13 Mar 2023
Towards Scalable Physically Consistent Neural Networks: an Application
  to Data-driven Multi-zone Thermal Building Models
Towards Scalable Physically Consistent Neural Networks: an Application to Data-driven Multi-zone Thermal Building ModelsApplied Energy (Appl. Energy), 2022
L. D. Natale
B. Svetozarevic
Philipp Heer
Colin N. Jones
AI4CE
379
38
0
23 Dec 2022
Lessons Learned from Data-Driven Building Control Experiments:
  Contrasting Gaussian Process-based MPC, Bilevel DeePC, and Deep Reinforcement
  Learning
Lessons Learned from Data-Driven Building Control Experiments: Contrasting Gaussian Process-based MPC, Bilevel DeePC, and Deep Reinforcement LearningIEEE Conference on Decision and Control (CDC), 2022
L. D. Natale
Yingzhao Lian
E. Maddalena
Jicheng Shi
Colin N. Jones
154
20
0
31 May 2022
Near-optimal Deep Reinforcement Learning Policies from Data for Zone
  Temperature Control
Near-optimal Deep Reinforcement Learning Policies from Data for Zone Temperature Control
L. D. Natale
B. Svetozarevic
Philipp Heer
Colin N. Jones
OffRLAI4CE
160
6
0
10 Mar 2022
Physically Consistent Neural Networks for building thermal modeling:
  theory and analysis
Physically Consistent Neural Networks for building thermal modeling: theory and analysisApplied Energy (Appl. Energy), 2021
L. D. Natale
B. Svetozarevic
Philipp Heer
Colin N. Jones
PINNAI4CE
266
112
0
06 Dec 2021
1