In theory, building automation and management systems (BAMSs) can provide all the
components and functionalities required for analyzing and operating buildings. However, in …

With the wide adoption of building automation system, and the advancement of data,
sensing, and machine learning techniques, data-driven fault detection and diagnostics …

Due to the fast advancement of communication and information technology, intelligent
buildings have garnered great interest. These buildings can forecast weather, ambient …

Smart cities attempt to reach net-zero emissions goals by reducing wasted energy while
improving grid stability and meeting service demand. This is possible by adopting next …

This study introduces a Bayesian network model to evaluate the comfort levels of occupants
of two non-residential Norwegian buildings based on data collected from satisfaction …

Timely and accurate fault diagnosis (FD) in building energy systems (BESs) can promote
energy efficiency and sustainable development. Especially the heating, ventilating, and air …

Recent studies show that artificial intelligence (AI), such as machine learning and deep
learning, models can be adopted and have advantages in fault detection and diagnosis for …

Long-term operation of heating, ventilation, and air conditioning (HVAC) systems will
eventually lead to a range of HVAC system failures, resulting in excessive energy …

The automated fault diagnosis and smart management of heating, ventilation and air
conditioning (HVAC) system is essential to the reliability of data centers. The machine …

Intelligence in Industry 4.0 has led to the development of smart buildings with various control
systems for data collection, efficient optimization, and fault detection and diagnosis (FDD) …