Commercial buildings are comprised of multiple mechanical and electrical systems that work
in tandem to provide a healthy, safe, and comfortable environment for occupants. These …

Buildings account for 30% of energy use worldwide, and approxi-mately half of it is ascribed
to HVAC systems. Reinforcement Learning (RL) has improved upon traditional control …

Building energy consumption accounts for a large figure of total energy consumption and
keeps a rapid increase. Energy for heating, ventilation, and air conditioning (HVAC) is the …

Large language models (LLMs) are demonstrating significant promise as an alternate
strategy to facilitate analyses and optimizations of high-performance computing programs …

Agricultural irrigation is a significant contributor to freshwater consumption. However, the
current irrigation systems used in the field are not efficient. They rely mainly on soil moisture …

Buildings account for more than 40% of the energy US primary energy consumption. Of all
the building services, heating, ventilation, and air-conditioning (HVAC) account for almost …

Occupancy sensing and estimation in large commercial buildings has become a significant
problem to be solved, with applications ranging from occupancy-based HVAC control to …

Recent research has shown the potential of Model-based Reinforcement Learning (MBRL)
to enhance energy efficiency of Heating, Ventilation, and Air Conditioning (HVAC) systems …

The application of reinforcement learning in controlling Heating, Ventilation, and Air
Conditioning (HVAC) systems has been extensively researched. Existing studies primarily …

Although it is widely acknowledged that reinforcement learning (RL) can be beneficial for
building control, many RL-based control actions remain unexplainable in the daily practice …