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On-line Building Energy Optimization using Deep Reinforcement Learning

On-line Building Energy Optimization using Deep Reinforcement Learning

18 July 2017
Elena Mocanu
Decebal Constantin Mocanu
Phuong H. Nguyen
A. Liotta
M. Webber
M. Gibescu
J. Slootweg
    OffRL
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Papers citing "On-line Building Energy Optimization using Deep Reinforcement Learning"

39 / 39 papers shown
Title
Reinforcement Learning-based Approach for Vehicle-to-Building Charging with Heterogeneous Agents and Long Term Rewards
Reinforcement Learning-based Approach for Vehicle-to-Building Charging with Heterogeneous Agents and Long Term Rewards
Fangqi Liu
Rishav Sen
J. P. Talusan
Ava Pettet
Aaron Kandel
Yoshinori Suzue
Ayan Mukhopadhyay
A. Dubey
OffRL
44
0
0
24 Feb 2025
Reinforcement Learning for Sustainable Energy: A Survey
Reinforcement Learning for Sustainable Energy: A Survey
Koen Ponse
Felix Kleuker
Márton Fejér
Álvaro Serra-Gómez
Aske Plaat
Thomas M. Moerland
OffRL
AI4CE
40
1
0
26 Jul 2024
An experimental evaluation of Deep Reinforcement Learning algorithms for
  HVAC control
An experimental evaluation of Deep Reinforcement Learning algorithms for HVAC control
Antonio Manjavacas
Alejandro Campoy-Nieves
Javier Jiménez Raboso
Miguel Molina-Solana
Juan Gómez-Romero
AI4CE
31
8
0
11 Jan 2024
Laxity-Aware Scalable Reinforcement Learning for HVAC Control
Laxity-Aware Scalable Reinforcement Learning for HVAC Control
Ruohong Liu
Yuxin Pan
Yize Chen
AI4CE
14
0
0
29 Jun 2023
Energy Optimization for HVAC Systems in Multi-VAV Open Offices: A Deep
  Reinforcement Learning Approach
Energy Optimization for HVAC Systems in Multi-VAV Open Offices: A Deep Reinforcement Learning Approach
Hongya Wang
Xiwen Chen
Natan Vital
Edward. Duffy
Abolfazl Razi
AI4CE
13
6
0
23 Jun 2023
Optimal Scheduling in IoT-Driven Smart Isolated Microgrids Based on Deep
  Reinforcement Learning
Optimal Scheduling in IoT-Driven Smart Isolated Microgrids Based on Deep Reinforcement Learning
Jiaju Qi
Lei Lei
Kan Zheng
Simon X. Yang
Xuemin
X. Shen
16
11
0
28 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
22
2
0
17 Apr 2023
Domain-adapted Learning and Imitation: DRL for Power Arbitrage
Domain-adapted Learning and Imitation: DRL for Power Arbitrage
Yuanrong Wang
Vigneshwaran Swaminathan
Nikita P. Granger
Carlos Ros Perez
C. Michler
18
0
0
19 Jan 2023
Dynamic Sparse Network for Time Series Classification: Learning What to
  "see''
Dynamic Sparse Network for Time Series Classification: Learning What to "see''
Qiao Xiao
Boqian Wu
Yu Zhang
Shiwei Liu
Mykola Pechenizkiy
Elena Mocanu
Decebal Constantin Mocanu
AI4TS
38
28
0
19 Dec 2022
A survey on the development status and application prospects of
  knowledge graph in smart grids
A survey on the development status and application prospects of knowledge graph in smart grids
Jian Wang
Xi Wang
Chaoqun Ma
Lei Kou
33
74
0
02 Nov 2022
Federated Reinforcement Learning for Real-Time Electric Vehicle Charging
  and Discharging Control
Federated Reinforcement Learning for Real-Time Electric Vehicle Charging and Discharging Control
Zixuan Zhang
Yuning Jiang
Yuanming Shi
Ye Shi
Wei Chen
54
13
0
04 Oct 2022
Joint Energy Dispatch and Unit Commitment in Microgrids Based on Deep Reinforcement Learning
Jiaju Qi
Lei Lei
Kan Zheng
Simon X. Yang
19
0
0
03 Jun 2022
Optimal Adaptive Prediction Intervals for Electricity Load Forecasting
  in Distribution Systems via Reinforcement Learning
Optimal Adaptive Prediction Intervals for Electricity Load Forecasting in Distribution Systems via Reinforcement Learning
Yufan Zhang
Honglin Wen
Qiuwei Wu
Qiang Ai
12
21
0
18 May 2022
Massively Digitized Power Grid: Opportunities and Challenges of
  Use-inspired AI
Massively Digitized Power Grid: Opportunities and Challenges of Use-inspired AI
Le Xie
Xiangtian Zheng
Yannan Sun
Tong Huang
Tony Bruton
AI4CE
35
18
0
10 May 2022
Deep Reinforcement Learning Versus Evolution Strategies: A Comparative
  Survey
Deep Reinforcement Learning Versus Evolution Strategies: A Comparative Survey
Amjad Yousef Majid
Serge Saaybi
Tomas van Rietbergen
Vincent François-Lavet
R. V. Prasad
Chris Verhoeven
OffRL
62
55
0
28 Sep 2021
Data-driven battery operation for energy arbitrage using rainbow deep
  reinforcement learning
Data-driven battery operation for energy arbitrage using rainbow deep reinforcement learning
Daniel J. B. Harrold
Jun Cao
Zhong Fan
9
47
0
10 Jun 2021
Development of a Soft Actor Critic Deep Reinforcement Learning Approach
  for Harnessing Energy Flexibility in a Large Office Building
Development of a Soft Actor Critic Deep Reinforcement Learning Approach for Harnessing Energy Flexibility in a Large Office Building
Anjukan Kathirgamanathan
E. Mangina
D. Finn
AI4CE
14
38
0
25 Apr 2021
Data-driven control of room temperature and bidirectional EV charging
  using deep reinforcement learning: simulations and experiments
Data-driven control of room temperature and bidirectional EV charging using deep reinforcement learning: simulations and experiments
B. Svetozarevic
C. Baumann
S. Muntwiler
L. Di Natale
Melanie Zeilinger
Philipp Heer
AI4CE
19
34
0
02 Mar 2021
Sparse Training Theory for Scalable and Efficient Agents
Sparse Training Theory for Scalable and Efficient Agents
Decebal Constantin Mocanu
Elena Mocanu
T. Pinto
Selima Curci
Phuong H. Nguyen
M. Gibescu
D. Ernst
Z. Vale
45
17
0
02 Mar 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
24
227
0
27 Jan 2021
Deep Learning for Intelligent Demand Response and Smart Grids: A
  Comprehensive Survey
Deep Learning for Intelligent Demand Response and Smart Grids: A Comprehensive Survey
Praveen Kumar
Viet Quoc Pham
Madhusanka Liyanage
N. Deepa
Mounik Vvss
Shivani Reddy
Reddy Maddikunta
Neelu Khare
Thippa Reddy Gadekallu
W. Hwang
41
57
0
20 Jan 2021
Autonomous Charging of Electric Vehicle Fleets to Enhance Renewable
  Generation Dispatchability
Autonomous Charging of Electric Vehicle Fleets to Enhance Renewable Generation Dispatchability
Reza Bayani
Saeed D. Manshadi
Guangyi Liu
Yawei Wang
Renchang Dai
16
18
0
22 Dec 2020
Indoor Point-to-Point Navigation with Deep Reinforcement Learning and
  Ultra-wideband
Indoor Point-to-Point Navigation with Deep Reinforcement Learning and Ultra-wideband
Enrico Sutera
Vittorio Mazzia
Francesco Salvetti
Giovanni Fantin
Marcello Chiaberge
23
6
0
18 Nov 2020
Empowering Things with Intelligence: A Survey of the Progress,
  Challenges, and Opportunities in Artificial Intelligence of Things
Empowering Things with Intelligence: A Survey of the Progress, Challenges, and Opportunities in Artificial Intelligence of Things
Jing Zhang
Dacheng Tao
45
462
0
17 Nov 2020
A Relearning Approach to Reinforcement Learning for Control of Smart
  Buildings
A Relearning Approach to Reinforcement Learning for Control of Smart Buildings
Avisek Naug
Marcos Quiñones-Grueiro
G. Biswas
CLL
6
9
0
04 Aug 2020
Distributed Deep Reinforcement Learning for Intelligent Load Scheduling
  in Residential Smart Grids
Distributed Deep Reinforcement Learning for Intelligent Load Scheduling in Residential Smart Grids
Hwei-Ming Chung
Sabita Maharjan
Yan Zhang
Frank Eliassen
9
70
0
29 Jun 2020
Multi-Agent Deep Reinforcement Learning for HVAC Control in Commercial
  Buildings
Multi-Agent Deep Reinforcement Learning for HVAC Control in Commercial Buildings
Liang Yu
Yi Sun
Zhanbo Xu
Chao Shen
Dong Yue
Tao Jiang
X. Guan
AI4CE
14
212
0
25 Jun 2020
Model-Free Voltage Regulation of Unbalanced Distribution Network Based
  on Surrogate Model and Deep Reinforcement Learning
Model-Free Voltage Regulation of Unbalanced Distribution Network Based on Surrogate Model and Deep Reinforcement Learning
Di Cao
Junbo Zhao
Weihao Hu
F. Ding
Qi Huang
Zhe Chen
F. Blaabjerg
OffRL
6
6
0
24 Jun 2020
Distributed Voltage Regulation of Active Distribution System Based on
  Enhanced Multi-agent Deep Reinforcement Learning
Distributed Voltage Regulation of Active Distribution System Based on Enhanced Multi-agent Deep Reinforcement Learning
Di Cao
Junbo Zhao
Weihao Hu
F. Ding
Qi Huang
Zhe Chen
6
10
0
31 May 2020
Demand-Side Scheduling Based on Multi-Agent Deep Actor-Critic Learning
  for Smart Grids
Demand-Side Scheduling Based on Multi-Agent Deep Actor-Critic Learning for Smart Grids
Joash Lee
Wenbo Wang
Dusit Niyato
11
9
0
05 May 2020
Robust Data-driven Profile-based Pricing Schemes
Robust Data-driven Profile-based Pricing Schemes
Jingshi Cui
Haoxiang Wang
Chenye Wu
Yang Yu
9
3
0
12 Dec 2019
Vulnerability Analysis for Data Driven Pricing Schemes
Vulnerability Analysis for Data Driven Pricing Schemes
Jingshi Cui
Haoxiang Wang
Chenye Wu
Yang Yu
14
5
0
18 Nov 2019
Resilient Load Restoration in Microgrids Considering Mobile Energy
  Storage Fleets: A Deep Reinforcement Learning Approach
Resilient Load Restoration in Microgrids Considering Mobile Energy Storage Fleets: A Deep Reinforcement Learning Approach
Shuhan Yao
Jiuxiang Gu
Peng Wang
Tianyang Zhao
Huajun Zhang
Xiaochuan Liu
14
38
0
06 Nov 2019
A Dynamic Analysis of Energy Storage with Renewable and Diesel
  Generation using Volterra Equations
A Dynamic Analysis of Energy Storage with Renewable and Diesel Generation using Volterra Equations
D. N. Sidorov
I. Muftahov
N. Tomin
D. Karamov
D. Panasetsky
A. Dreglea
Fang Liu
A. Foley
11
56
0
04 Aug 2019
Deep Reinforcement Learning for Autonomous Internet of Things: Model,
  Applications and Challenges
Deep Reinforcement Learning for Autonomous Internet of Things: Model, Applications and Challenges
Lei Lei
Yue Tan
Kan Zheng
Shiwen Liu
K. Zheng
Xuemin Shen
Shen
OffRL
21
202
0
22 Jul 2019
Tackling Climate Change with Machine Learning
Tackling Climate Change with Machine Learning
David Rolnick
P. Donti
L. Kaack
K. Kochanski
Alexandre Lacoste
...
Demis Hassabis
John C. Platt
F. Creutzig
J. Chayes
Yoshua Bengio
AI4Cl
AI4CE
33
786
0
10 Jun 2019
A supervised-learning-based strategy for optimal demand response of an
  HVAC System
A supervised-learning-based strategy for optimal demand response of an HVAC System
Young-Jin Kim
AI4CE
17
55
0
29 Apr 2019
A Review of Reinforcement Learning for Autonomous Building Energy
  Management
A Review of Reinforcement Learning for Autonomous Building Energy Management
Karl Mason
S. Grijalva
AI4CE
24
220
0
12 Mar 2019
Multi-agent Deep Reinforcement Learning for Zero Energy Communities
Multi-agent Deep Reinforcement Learning for Zero Energy Communities
Amit Prasad
Ivana Dusparic
AI4CE
9
45
0
08 Oct 2018
1