Buildings consume about 40% of globally-produced energy. A notable amount of this energy
is used to provide sufficient comfort levels to the building occupants. Moreover, given recent …

Predictive control offers significant advantages in nonlinear control, high thermal inertia, and
dynamic control. This article uses a Systematic Reviews and Meta-Analyses methodology to …

Literature search across different databases showed that the application of artificial
intelligence (AI) in heating, ventilation and air conditioning (HVAC) equipment has been …

Energy optimization in buildings by controlling the Heating Ventilation and Air Conditioning
(HVAC) system is being researched extensively. In this paper, a model-free actor-critic …

About 36% of global energy used worldwide is attributed to buildings [1], which also
contribute to about 17% of total direct energy-related CO2 emissions to the environment [2] …

Energy utilization throughout the world is expanding at an alarming rate. This has just
demonstrated its effect on the consumption of fuel resources and natural concerns (a drastic …

Energy consumption modeling has evolved along with building technology. Modeling
techniques can be largely classified into white box, gray box, and black box. In this study, the …

Artificial intelligence (AI) technologies have developed rapidly since 2000. Numerous
academic papers have been published regarding energy efficiency improvements for air …

State-space representation is essential in dynamical systems theory. This paper introduces
a methodology for obtaining state-space representation from the thermal models of …

Recently, data-based artificial intelligence technology has been developing dramatically,
and we are considering how to model, predict, and control complex systems. Energy system …