Smart Building

Towards Intelligent Multi-Zone Thermal Control with Multi- Agent Deep Reinforcement Learning
In this paper, we investigate the multi-zone thermal control with optimized energy usage and canonical thermal comfort modeling. A multi-zone thermal control algorithm (MOCA) is proposed to solve the problem by deriving optimal control policies.
Jie Li, Wei Zhang, Guanyu Gao, Yonggang Wen, Guangyu Jin, Georgios Christopoulos
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Towards A Wearable Crowdsource System to Monitor Respiratory Symptoms for Pandemic Early Warning
In this research, we propose to leverage the ubiquitous wearable devices to develop a wearable crowdsource system to monitor respiratory symptoms such as cough and fever.
Wei Zhang, Jie Li, Yonggang Wen, Yong Luo
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Poster Abstract: An Urban Tropical Thermal Comfort Dataset for Smart Buildings
In this paper, we present our latest urban tropical dataset for thermal comfort research.
Jie Li, Yonggang Wen, Wei Zhang
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Poster Abstract: An Urban Tropical Thermal Comfort Dataset for Smart Buildings
DeepComfort: Energy-Efficient Thermal Comfort Control in Buildings via Reinforcement Learning
We implement a building thermal comfort control simulation environment and evaluate the performance under various settings of DDPG based approach.
Guanyu Gao, Jie Li, Yonggang Wen
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