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 …

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 …

Supported by the combination of the advanced BIM technique with intelligent algorithms, this
paper develops a systematic framework using explainable machine learning and multi …

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 …

Automatic fault detection and diagnosis (AFDD) for chillers has significant impacts on energy
saving, indoor environment comfort and systematic building management. Recent works …

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 …

In this study, in-situ sensor virtualization is proposed to overcome physical sensing
limitations, including sensor errors and management costs in long-term building operations …

This article reviews the current research on the development and implementation of
automated fault detection and diagnostics (AFDD) technology for building systems. This …

Buildings consumed about 40% of primary energy and 70% of the electricity in the US It is
well known that most buildings lose a portion of their desired and designed energy efficiency …

This study proposes a novel framework and methodology for building digital twinning (BDT)
over the life cycle of a building. It aims to establish an intrinsic digital twin framework and …