User Comfort and Energy Efficiency in HVAC Systems by Q-learning
2018 26th Signal Processing and Communications Applications Conference (SIU)
Abstract
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.
Selected figures
Cite this work
S. Baghaee and I. Ulusoy, "User Comfort and Energy Efficiency in HVAC Systems by Q-learning," in 2018 26th Signal Processing and Communications Applications Conference (SIU), pp. 1-4, 2018. doi: 10.1109/SIU.2018.8404287.
@inproceedings{baghaee2018user,
author = {Baghaee, Sajjad and Ulusoy, Ilkay},
title = {User Comfort and Energy Efficiency in HVAC Systems by Q-learning},
booktitle = {2018 26th Signal Processing and Communications Applications Conference (SIU)},
pages = {1-4},
publisher = {IEEE},
year = {2018},
doi = {10.1109/SIU.2018.8404287},
url = {https://ieeexplore.ieee.org/abstract/document/8404287}
}