ComfortLearn
Author:
Affiliation:
1. National University of Singapore
2. The University of Texas at Austin
3. Berkeley Education Alliance for Research in Singapore
4. University of California
Funder
Republic of Singapore's National Research Foundation
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3563357.3566167
Reference12 articles.
1. American Society of Heating Refrigerating and Air-Conditioning Engineers. Standards Committee. 2013. Thermal environmental conditions for human occupancy . Vol. 2013 . arXiv: 1011.1669v3 ISBN : 9788578110796. American Society of Heating Refrigerating and Air-Conditioning Engineers. Standards Committee. 2013. Thermal environmental conditions for human occupancy. Vol. 2013. arXiv: 1011.1669v3 ISBN: 9788578110796.
2. Comfort standards and variations in exceedance for mixed-mode buildings
3. Surface Characterization of the Carbon Cathode and the Lithium Anode of Li–O2 Batteries Using LiClO4 or LiBOB Salts
4. Control-oriented archetypes: a pathway for the systematic application of advanced controls in buildings
5. Gnu-RL
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1. A data-driven agent-based model of occupants’ thermal comfort behaviors for the planning of district-scale flexible work arrangements;Building and Environment;2024-06
2. BEAR-Data: Analysis and Applications of an Open Multizone Building Dataset;Proceedings of the 10th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation;2023-11-15
3. FTM-Sense: Robust Sensor-free Occupancy Sensing Leveraging WiFi Fine Time Measurement;Proceedings of the 10th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation;2023-11-15
4. Ten questions concerning reinforcement learning for building energy management;Building and Environment;2023-08
5. Human-building interaction for indoor environmental control: Evolution of technology and future prospects;Automation in Construction;2023-08
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