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

Implementing an efficient control strategy for heating, ventilation, and air conditioning
(HVAC) systems can lead to improvements in both energy efficiency and thermal …

Deep anomaly detection (DAD) is essential in optimizing building energy management.
Nonetheless, most existing works concerning this field consider unsupervised learning and …

Abstract Faults in Heating, Ventilation, and Air Conditioning (HVAC) systems of buildings
result in significant energy waste in building operation. With fast-growing sensing data …

Abnormal operation of HVAC systems can result in an increase in energy usage as well as
poor indoor air quality, thermal discomfort, and low productivity. Building automated systems …

Sports facilities are considered complex buildings due to their high energy demand and
occupancy profiles. Therefore, their management and optimization are crucial for reducing …

Sensor technologies empower Industry 4.0 by enabling integration of in-field and real-time
raw data into digital twins (DTs). However, sensors might be unreliable due to inherent …

Building sector account for significant global energy consumption and Heating Ventilation
and Air Conditioning (HVAC) systems contribute to the highest portion of building energy …

The rapid adoption of Internet-of-Things (IoT) and digital twins (DTs) technologies within
industrial environments has highlighted diverse critical issues related to safety and security …

Sensors have been used in various agricultural production scenarios due to significant
advances in the Agricultural Internet of Things (Ag-IoT), leading to smart agriculture …