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.
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.
In this paper, we present our latest urban tropical dataset for thermal comfort research.
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.
We implement a building thermal comfort control simulation environment and evaluate the performance under various settings of DDPG based approach.
