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2
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
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
Lab-on-Mask for Remote Respiratory Monitoring
A smart mask integrated with a remote, non-contact multiplexed sensor system, or “Lab-on-Mask” (LOM) is designed for monitoring the respiratory diseases such as the COVID-19.
Liang Pan
,
Cong Wang
,
Haoran Jin
,
Jie Li
,
Le Yang
,
Yuanjin Zheng
,
Yonggang Wen
,
Xian Jun Loh
,
Xiaodong Chen
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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