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User comfort and energy efficiency in HVAC systems by Q-learning
Date
2018-05-05
Author
Ulusoy, İlkay
Metadata
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Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
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This study focuses on applying Q-learning techniques for an HVAC agent where the agent learns to find the optimal sequence of ventilator rate variations to satisfy user comfort and energy efficiency simultaneously. On-Off and Setpoint control methods are investigated besides the proposed control method under different occupant number. The results show the advantage of the proposed Q-learning method to keep the Indoor Air Quality (IAQ), i.e., the indoor CO2 concentration, at the desired level while operating the HVAC efficiently.
Subject Keywords
Reinforcement Learning (RL)
,
Q-Learning
,
HVAC
,
Ventilation System
,
Comfort And Energy Efficiency
URI
https://hdl.handle.net/11511/48730
DOI
https://doi.org/10.1109/siu.2018.8404287
Collections
Department of Electrical and Electronics Engineering, Conference / Seminar
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İ. Ulusoy, “User comfort and energy efficiency in HVAC systems by Q-learning,” 2018, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/48730.