Ceiling fans can reduce the cooling demand in an indoor area, improve thermal comfort, and
save energy. Despite the numerous potential advantages of applying ceiling fans, the …

Despite the abundance of research applications of system modeling in grid-interactive
efficient buildings (GEBs), the transfer of those applications to real-world practices is still in …

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 is a critical component of indoor environments, especially in schools where
learning is the main objective. However, thermal comfort comes at a price that many schools …

In this paper, optimized controls to enhance the energy efficiency and demand response
benefits of roof-integrated switchable insulation system combined with precooling strategies …

The heating, ventilation, and air-conditioning (HVAC) systems account for about half of the
building energy consumption. The optimization methodology access to optimal control …

As regional grids increase penetrations of variable renewable electricity (VRE) sources,
demand-side management (DSM) presents an opportunity to reduce electricity-related …

Central cooling systems with multiple chillers are commonly used in large buildings due to
their flexibility and efficiency in providing cooling capacity. These systems often rely on load …

The ant colony labor division model can be used to solve the dynamic and variable traffic
signal timing problem because of its adaptive and self‐adjusting characteristics. Based on …

Hybridization of machine learning methods with soft computing techniques is an essential
approach to improve the performance of the prediction models. Hybrid machine learning …