Grey-box modeling, as one of the three fundamental modeling techniques for building
energy models, has many advantages compared with black-box modeling and white-box …

Buildings use up to 40% of the global primary energy and 30% of global greenhouse gas
emissions, which may significantly impact climate change. Heating, ventilation, and air …

Nowadays, there is growing interest in all the smart technologies that provide us with
information and knowledge about the human environment. In the energy field, thanks to the …

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 …

Distributed energy system (DES) has successfully aroused increasing interests among
energy policy makers and system designers, as its potential of replacing conventional …

The development of smart buildings, as well as the great need for energy demand reduction,
has renewed interest in building energy demand prediction. Intelligent controllers are a …

Accurate ultra-short-term air conditioning (AC) load prediction is essential for the optimal
control of split air conditioners. However, the distribution of the AC load from different …

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 …

Estimation of energy models from data is an important part of advanced fault detection and
diagnosis tools for smart energy purposes. Estimated energy models can be used for a large …

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 …