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 …

Artificial intelligence has showed powerful capacity in detecting and diagnosing faults of
building energy systems. This paper aims at making a comprehensive literature review of …

With the advent of the era of big data, buildings have become not only energy-intensive but
also data-intensive. Data mining technologies have been widely utilized to release the …

This review study examines the latest research and developments in the fault detection and
diagnostics of Heating Ventilation and Air Conditioning (HVAC) systems. This review …

Practical building operations usually deviate from the designed building operational
performance due to the wide existence of operating faults and improper control strategies …

Virtual sensing technologies have a huge potential in an informative and reliable sensing
environment, which is essential to provide and maintain intelligent services in building life …

In the last two decades Soft Sensors established themselves as a valuable alternative to the
traditional means for the acquisition of critical process variables, process monitoring and …

Buildings consume more than one-third of the world's primary energy. Reducing energy use
and greenhouse-gas emissions in the buildings sector through energy conservation and …

Computer-empowered detection of possible faults for Heating, Ventilation and Air-
Conditioning (HVAC) subsystems, eg, chillers, is one of the most important applications in …

Buildings are responsible for 40% of global energy use and contribute towards 30% of the
total CO2 emissions. The drive to reduce energy use and associated greenhouse gas …