The appropriate application of advanced control strategies in Heating, Ventilation, and Air-
conditioning (HVAC) systems is key to improving the energy efficiency of buildings …

The body of knowledge on gray box building energy modeling (GBBEM) has been
developed over the past few decades and has undergone some important changes recently …

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

Predictive control techniques for heating, ventilation and air conditioning (HVAC) systems
have been paid an increasing attention in recent years. Such methods rely on building …

We propose a method for reducing the order of dynamic models of temperature and humidity
in multi-zone buildings. Low-order models of building thermal dynamics are useful for model …

The residential and commercial building sector is known to use around 40% of the total end-
use energy and, hence, is considered to be the largest energy consumer sector in the world …

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 …

This paper addresses the problem of thermal energy control in shop** centers through the
application of model predictive control (MPC) strategies. In particular, this paper uses an …

In future and smarter energy systems, time varying energy prices enable indirect demand
response (DR) to assist the electricity supply system to meet demand. This simulation-based …

Identification approaches applied to semi-physical thermal network structures, so called gray-
box modeling approaches, are popular in building science for energy audits, retrofit analysis …