With the increasing population and urbanization promotion, energy consumption and carbon
emissions have increased, and concern for inefficient energy use and deteriorating urban …

Due to the thermal inertia of building envelope and random uncertainty of occupant
behaviors, real-time and accurate forecasting for building cooling and heating loads is not …

In recent years, radiant floor heating systems have been favored by more and more
consumers because of their better comfort, high stability, and energy efficiency. This is …

To reduce peak demand and/or energy cost for residential buildings, optimal precooling
strategies are becoming important as an alternative to rule-based precooling strategies that …

Abstract Heating, Ventilation, and Air Conditioning (HVAC) systems can maintain the space
air temperature of residential buildings, either directly by heating/cooling the air, or indirectly …

Existing pre-cooling strategies provide a means of shifting or reducing the peak demand
and/or energy cost in residential buildings. However, majority of them are rule-based and …

The reduced-order model (ROM) can highly reduce computation costs while maintaining
high high-fidelity performance for model predictive control's application by applying the …

We proposed a novel multi-objective model predictive control (MPC) approach based on a
straightforward internal prediction model to achieve building energy efficiency and maintain …

Smart thermostats offer low-cost alternative for fault detection and diagnosis (FDD) in
residential air-conditioning (AC) systems. However, smart thermostats do not directly …

Radiant floor heating (RFH) is an advanced technology that can couple with renewable low-
temperature sources and improve occupant thermal comfort. However, due to the large …