Model-Based Reinforcement Learning (MBRL) has been widely studied for Heating,
Ventilation, and Air Conditioning (HVAC) control in buildings. One of the fundamental …

Agricultural irrigation is a major consumer of freshwater. Current irrigation systems used in
the field are not efficient, since they are mainly based on soil moisture sensors' …

In this paper, we take a holistic approach to deal with the tradeoffs between energy use and
comfort in commercial buildings. We developed a system called OCTOPUS, which employs …

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

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 …

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 …

Online monitors of the running gears systems of high-speed trains play critical roles in
ensuring operational safety and reliability. Status signals collected from high-speed train …

The cyber physical systems (CPS) are linked to a range of sensors, the data from which is
used for decision making and real-time operation. With the introduction of Industry 5.0, which …

Cyber-physical systems rely on many control and decision-making algorithms. However, the
majority of cyber-physical systems today are still operated by simple rule-based and …

Online monitors of the running gears systems of high-speed trains play critical roles in
ensuring operational safety and reliability. Status signals collected from high-speed train …