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 …

Abstract Machine learning (ML) methods has recently contributed very well in the
advancement of the prediction models used for energy consumption. Such models highly …

Reliable and accurate building energy consumption prediction is becoming increasingly
pivotal in building energy management. Currently, data-driven approach has shown …

Developing advanced fault detection and diagnosis (FDD) techniques for building chillers is
becoming increasingly essential for building energy saving. Previous FDD studies have …

Cyprus is a heavily energy-receiving country, importing over 90% of its energy demand.
Since heating and cooling of buildings account for roughly half of the yearly global energy …

Green building standards were adopted around the world to minimize energy consumption
and carbon emission from the building sector. However, designing buildings following 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 …

Variable refrigerant flow systems (VRFS) are gradually gaining popularity in commercial and
residential buildings owing to their satisfactory part-load performance, flexible control, and …

A direct-expansion solar-assisted heat pump (DX-SAHP) system using R290 (propane) is
studied experimentally. A Coriolis mass flow meter is employed to measure the R290 mass …

Abstract Space cooling energy consumption is a significant component of building energy
consumption, and in recent years it has attracted much attention worldwide owing to its …