Title
Balancing Energy Consumption and Thermal Comfort with Deep Reinforcement Learning
Abstract
The management of thermal comfort in a building is a challenging and multi-faced problem because it requires considering both objective and subjective parameters that are often in contrast. Subjective parameters are tied to reaching and maintaining an adequate user comfort by considering human preferences and behaviours, while objective parameters can be related to other important aspects like the...
Year
DOI
Venue
2021
10.1109/ICHMS53169.2021.9582638
2021 IEEE 2nd International Conference on Human-Machine Systems (ICHMS)
Keywords
DocType
ISBN
Thermal Comfort,Smart Environments,Cognitive Buildings,Deep Reinforcement Learning
Conference
978-1-6654-0170-8
Citations 
PageRank 
References 
0
0.34
0
Authors
6