Reinforcement learning for energy conservation and comfort in buildings

K. Dalamagkidis; D. Kolokotsa; K. Kalaitzakis; G.S. Stavrakakis

doi:10.1016/j.buildenv.2006.07.010

Reinforcement learning for energy conservation and comfort in buildings

Building and Environment ◽

10.1016/j.buildenv.2006.07.010 ◽

2007 ◽

Vol 42 (7) ◽

pp. 2686-2698 ◽

Cited By ~ 93

Author(s):

K. Dalamagkidis ◽

D. Kolokotsa ◽

K. Kalaitzakis ◽

G.S. Stavrakakis

Keyword(s):

Reinforcement Learning ◽

Energy Conservation

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Charge/discharge control of wayside batteries via reinforcement learning for energy‐conservation in electrified railway systems

Electrical Engineering in Japan ◽

10.1002/eej.23319 ◽

2021 ◽

Author(s):

Yasuhiro Yoshida ◽

Sachiyo Arai ◽

Hiroyasu Kobayashi ◽

Keiichiro Kondo

Keyword(s):

Reinforcement Learning ◽

Energy Conservation ◽

Railway Systems ◽

Electrified Railway ◽

Charge Discharge

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A multi-grid reinforcement learning method for energy conservation and comfort of HVAC in buildings

2015 IEEE International Conference on Automation Science and Engineering (CASE) ◽

10.1109/coase.2015.7294119 ◽

2015 ◽

Cited By ~ 11

Author(s):

Bocheng Li ◽

Li Xia

Keyword(s):

Reinforcement Learning ◽

Energy Conservation ◽

Learning Method ◽

Grid Reinforcement

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A social psychological perspective on energy conservation in residential buildings.

American Psychologist ◽

10.1037/0003-066x.39.7.810 ◽

1984 ◽

Vol 39 (7) ◽

pp. 810-811 ◽

Cited By ~ 2

Author(s):

Lynn Langmeyer

Keyword(s):

Energy Conservation ◽

Residential Buildings ◽

Psychological Perspective ◽

Social Psychological ◽

Social Psychological Perspective

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Habits, hardware, and energy conservation.

American Psychologist ◽

10.1037/0003-066x.36.4.426 ◽

1981 ◽

Vol 36 (4) ◽

pp. 426-428 ◽

Cited By ~ 3

Author(s):

Paul C. Stern ◽

Gerald T. Gardner

Keyword(s):

Energy Conservation

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Supplemental Material for Reconciling Reinforcement Learning Models With Behavioral Extinction and Renewal: Implications for Addiction, Relapse, and Problem Gambling

Psychological Review ◽

10.1037/0033-295x.114.3.784.supp ◽

2007 ◽

Cited By ~ 1

Keyword(s):

Reinforcement Learning ◽

Problem Gambling ◽

Learning Models ◽

Behavioral Extinction ◽

Reinforcement Learning Models

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Bayes factors for reinforcement-learning models of the Iowa gambling task.

Decision ◽

10.1037/dec0000040 ◽

2016 ◽

Vol 3 (2) ◽

pp. 115-131 ◽

Cited By ~ 14

Author(s):

Helen Steingroever ◽

Ruud Wetzels ◽

Eric-Jan Wagenmakers

Keyword(s):

Reinforcement Learning ◽

Iowa Gambling Task ◽

Bayes Factors ◽

Gambling Task ◽

Learning Models ◽

Reinforcement Learning Models

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Analogical Reinforcement Learning With Two-Stage Memory Retrieval

PsycEXTRA Dataset ◽

10.1037/e528942014-705 ◽

2014 ◽

Author(s):

James Foster ◽

Matt Jones

Keyword(s):

Reinforcement Learning ◽

Memory Retrieval ◽

Two Stage

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Effects of Working Memory Capacity on the Speed and Accuracy of Learning in Reinforcement Learning Models

PsycEXTRA Dataset ◽

10.1037/e528942014-552 ◽

2014 ◽

Author(s):

Adnane Ez-Zizi ◽

Simon Farrell ◽

David Leslie

Keyword(s):

Working Memory ◽

Reinforcement Learning ◽

Working Memory Capacity ◽

Memory Capacity ◽

Learning Models ◽

Reinforcement Learning Models ◽

Speed And Accuracy

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Mixed evidence for energy conservation: Task difficulty increases energy investment but does not determine it

PsycEXTRA Dataset ◽

10.1037/e549982013-039 ◽

2012 ◽

Author(s):

Michael Richter ◽

Josephine Stanek

Keyword(s):

Energy Conservation ◽

Task Difficulty ◽

Energy Investment ◽

Conservation Task

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Energy Conservation and Behavioral Scientists

PsycEXTRA Dataset ◽

10.1037/e593882009-009 ◽

1981 ◽

Author(s):

Jim Swan

Keyword(s):

Energy Conservation

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