Advanced controls have attracted increasing interests due to the high requirement on smart
and energy-efficient (SEE) buildings and decarbonization in the building industry with …

Implementing an efficient control strategy for heating, ventilation, and air conditioning
(HVAC) systems can lead to improvements in both energy efficiency and thermal …

Occupant behavior has been widely considered as one of the key influencing factors on
building energy consumption. The complexity of its formation mechanism and the dynamic …

As buildings account for approximately 40% of global energy consumption and associated
greenhouse gas emissions, their role in decarbonizing the power grid is crucial. The …

The increasing need for reducing carbon emissions and promoting smart, energy-saving
buildings is fueling the rising trend of sophisticated control systems. This study provides …

We have analyzed 127 publications for this review paper, which discuss applications of
Reinforcement Learning (RL) in marketing, robotics, gaming, automated cars, natural …

Heating ventilation and air conditioning (HVAC) systems control that takes occupant
information into account is called HVAC occupant-centric control (OCC), which strikes better …

Abstract Deep Reinforcement Learning (DRL) has emerged as a promising approach to
address the trade-off between energy efficiency and indoor comfort in buildings, potentially …

The building and construction industry has consistently been a major contributor to energy
consumption and carbon emissions. With stochastic interactions between occupants and …

Reinforcement learning (RL) has great potential in achieving energy-efficient, comfortable
and intelligent control of heating, ventilation and air conditioning (HVAC) systems. Although …