With the rise in electricity, gas and oil prices and the persistently high levels of carbon
emissions, there is an increasing demand for effective energy management in energy …

The design, commissioning, and retrofit of heating, ventilation, and air-conditioning (HVAC)
control systems are crucially important for energy efficiency. However, designers and control …

A novel energy management (EM) approach is introduced, integrating core elements of
collective intelligence (CI) and reinforcement learning (RL) and called CIRLEM. It operates …

Occupant-centric HVAC control places a premium on factors including thermal comfort and
electricity cost to guarantee occupant satisfaction. Traditional approaches, reliant on static …

In the era of post-Coronavirus Disease 2019, the dedicated outdoor air system (DOAS),
which provides 100% outdoor air for the building, is widely acknowledged as it can ensure …

The most in-demand instrumental methods for new functional nanomaterial diagnostics
employ synchrotron radiation, which is used to determine a material's electronic and local …

In response to the underutilization of energy and insufficient flexible operation capability of
rural energy supply systems in China, this study proposes an optimal dispatch approach for …

A novel energy management (EM) approach is introduced, integrating core elements of
collective intelligence (CI) and reinforcement learning (RL) and called CIRLEM. It operates …

1. Executive summary Reinforcement learning (RL) is a branch of machine learning (ML)
that focuses on optimal decision making through trial and error—analogous to a child …

Numerous reinforcement learning (RL) algorithms have been introduced to resolve
challenging tasks like game playing, natural language processing, and control. Particularly …