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 …

The energy consumption of major equipment in residential and industrial facilities can be
minimized through a variety of cost-effective energy-saving measures. Most saving …

At present, the integration of green building, the intelligent building industry and high-quality
development are facing a series of new opportunities and challenges. This review aims to …

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 …

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) …

Anomaly detection in energy consumption is a crucial step towards develo** efficient
energy saving systems, diminishing overall energy expenditure and reducing carbon …

Heating, ventilation, and air conditioning (HVAC) systems are a popular research topic
because buildings' energy is mostly used for heating and/or cooling. These systems heavily …

This article shows the potential of smart city development in revitalizing urban industrial
heritage and traditional industrial blocks. It highlights the challenges faced by these areas …

The data-driven approach currently dominates the field of Automatic Fault Detection and
Diagnosis (AFDD) in HVAC systems. However, a significant concern lies in the prevalent …