Show/Hide Menu
Hide/Show Apps
anonymousUser
Logout
Türkçe
Türkçe
Search
Search
Login
Login
OpenMETU
OpenMETU
About
About
Open Science Policy
Open Science Policy
Communities & Collections
Communities & Collections
Help
Help
Frequently Asked Questions
Frequently Asked Questions
Videos
Videos
Thesis submission
Thesis submission
Publication submission with DOI
Publication submission with DOI
Publication submission
Publication submission
Contact us
Contact us
User comfort and energy efficiency in HVAC systems by Q-learning
Date
2018-05-05
Author
Ulusoy, İlkay
Baghaee, Sajjad
Metadata
Show full item record
This work is licensed under a
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
.
Item Usage Stats
17
views
0
downloads
Cite This
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
Citation Formats
IEEE
ACM
APA
CHICAGO
MLA
BibTeX
İ. Ulusoy and S. Baghaee, “User comfort and energy efficiency in HVAC systems by Q-learning,” 2018, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/48730.