User comfort and energy efficiency in HVAC systems by Q-learning

2018-05-05
Ulusoy, İlkay
Baghaee, Sajjad
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.
Citation Formats
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.