Thermal comfort

A practical deep reinforcement learning framework for multivariate occupant-centric control in buildings

Reinforcement learning (RL) has been shown to have the potential for optimal control of heating, ventilation, and air conditioning (HVAC) systems. Although research on RL-based building control has received extensive attention in recent years, there …

The effects of a mismatch between thermal comfort modeling and HVAC controls from an occupancy perspective

Incorporating data-driven thermal comfort models into occupant-centric HVAC controls is crucial to meet occupants’ preferences in thermal comfort. Although HVAC controls and thermal comfort modeling are highly inter-related, the interactions between …