Today, buildings consume more than 40% of primary energy in and produce more than 36%
of CO2. So, an intelligent controller applied to the buildings for energy and comfort …

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 …

Historically, humanity has considered the control of cooling and heating an aspect related to
both comfort and survival, currently being it evaluated not as a luxury, but as a fact of modern …

Penetration of advanced building control techniques into the market has been slow since
buildings are unique and site-specific controller design is costly. In addition, for medium-to …

Predictive controllers can greatly improve the performance of energy systems in buildings.
An important challenge of these controllers is the need of a building model accurate and …

This paper proposes an approach to develop building dynamic thermal models that are of
paramount importance for controller application. In this context, controller requires a low …

Compared to physics-based models, the gray-box modeling approach has clear advantages
including reduced engineering efforts in the model development phase, higher …

Coordinating different components in a complex air conditioning system is challenging for
centralized controls due to the large number of optimization variables. In this scenario, de …

This paper presents a multi-agent control approach for optimal demand management of
multi-zone buildings. A near-optimal heuristic is proposed for a typical chilled-water air …

The building sector is the largest energy-demanding sector responsible for over one-third of
energy use globally and an equally important portion of carbon dioxide (CO2) emissions …