Conference Editor
Jianshun Zhang; Edward Bogucz; Cliff Davidson; Elizabeth Krietmeyer
Keywords:
building retrofit, occupant behavior, adaptive control, reinforcement learning
Location
Syracuse, NY
Event Website
http://ibpc2018.org/
Start Date
24-9-2018 10:30 AM
End Date
24-9-2018 12:00 PM
Description
Humans spend up to 90% of their time indoors, thus building systems should maintain the indoor environment within the comfort range. In this paper, we present LightLearn, a reinforcement learning based occupant centered lighting controller. The control agent interacts with the occupant non-intrusively, learns her/his preferences, and determines actions for achieving both human comfort and energy saving. We present system hardware, control algorithm, and experimental results of LightLearn for an office space. Compared to the full (9am-5pm) and occupancy based control, LightLearn reduced 83% and 63% of operation time, respectively, by adapting to the occupant.
Recommended Citation
Park, June Young; Dougherty, Thomas; Fritz, Hagen; and Nagy, Zoltan, "LightLearn: Occupant centered lighting controller using reinforcement learning to adapt systems to humans" (2018). International Building Physics Conference 2018. 2.
DOI
https://doi.org/10.14305/ibpc.2018.im-1.02
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 4.0 International License.
LightLearn: Occupant centered lighting controller using reinforcement learning to adapt systems to humans
Syracuse, NY
Humans spend up to 90% of their time indoors, thus building systems should maintain the indoor environment within the comfort range. In this paper, we present LightLearn, a reinforcement learning based occupant centered lighting controller. The control agent interacts with the occupant non-intrusively, learns her/his preferences, and determines actions for achieving both human comfort and energy saving. We present system hardware, control algorithm, and experimental results of LightLearn for an office space. Compared to the full (9am-5pm) and occupancy based control, LightLearn reduced 83% and 63% of operation time, respectively, by adapting to the occupant.
https://surface.syr.edu/ibpc/2018/IM1/2
Comments
If you are experiencing accessibility issues with this item, please contact the Accessibility and Inclusion Librarian through lib-accessibility@syr.edu with your name, SU NetID, the SURFACE link, title of record, and author & and reason for request.