Purely data-driven modeling methods exhibit inherent “black box” characteristics when
applied to the air source heat pump (ASHP) systems for energy efficiency improvement …

Numerous applications are being developed to enhance the energy efficiency of building
systems, including fault detection and diagnosis, performance assessment, and intelligent …

The evaluation and optimization of existing operation strategies are significant for energy-
saving in heating, ventilation, and air conditioning (HVAC) systems. The personalized …

Large language models (LLMs) have exhibited great potential in fault diagnosis of heating,
ventilation, and air conditioning systems. However, the fault diagnosis accuracy of LLMs is …

Heating, ventilation and air conditioning (HVAC) systems contribute to a major portion of
energy consumption in buildings. Real-time optimal control is an efficient tool to improve the …

The purpose of this paper is to study the energy usage pattern of office building all year
round using time-series energy consumption data. This investigated pattern could uncover …

With the wide application of building automation systems (BASs), a large amount of building
operation data are usually available, which provide a good basis for the optimal operation of …

Recently, the spread of smart metering infrastructures has enabled the easier collection of
building-related data. It has been proven that a proper analysis of such data can bring …

Data mining technologies have showed promising capabilities in extracting building
operation patterns from massive amounts of building operational data for energy …

Expert systems are effective for anomaly detection in building energy systems. However, it is
usually inefficient to establish comprehensive rule bases manually for complex building …