A Bio-sensing and Reinforcement Learning Control System for Personalized Thermal Comfort and Energy Efficiency

Chenlu Zhang
A comfortable indoor thermal environment plays a crucial role in preserving occupant health and productivity. In most office building today, the indoor thermal environment is regulated by heating, cooling, and air-conditioning
(HVAC) systems with static schedule-based rules. While prevalent, this control strategy has resulted in low thermal satisfaction rates and energy waste. A growing number of researchers are focusing on occupant-centric building
controls and applying various advanced control methods to improve thermal comfort and energy efficiency. However,...
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