This review presents an overview of the existing state-of-the-art practices of improved
performance in buildings required for the algorithmic logic and/or hardware. The main focus …

Abstract Recently, artificial intelligence (AI)-based methods of building control or prediction
have been confirmed to show high prediction accuracy and energy-efficient control …

In building automation, comfort is an important aspect, and the real-time measurement of
comfort is notoriously complicated. In this paper, we have developed a wireless, smart …

The incremented popularity of Internet of Things (IoT), thanks to improvements both in
hardware and software of sensors over the last years, enables the possibility to monitor and …

In this work, a Hardware-In-the-Loop (HIL) framework is introduced for the implementation
and the assessment of predictive control approaches in smart buildings. The framework …

A modulating heat pump and water tank result in a nonlinear model due to the load
dependency of the heat pump performance, and variable water flows. Nonlinear model …

Since the coronavirus disease 2019, the extended time indoors makes people more
concerned about indoor air quality, while the increased ventilation in seeks of reducing …

Particulate matter pollution becomes an increasingly important problem in developing
countries and poses a hazard to human health especially in indoor environment. At the …

An inappropriate indoor climate, mostly indoor temperature, may cause occupants'
discomfort. There are a great number of air conditioning systems that make it possible to …

In the context of energy consumption reduction, this paper focuses on the application of
Model Predictive Control to occupants' thermal comfort together with indoor air quality …