The rapid development in data science and the increasing availability of building
operational data have provided great opportunities for develo** data-driven solutions for …

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 …

Due to the equipment failure and inappropriate operation strategy, it is often difficult to
achieve energy-efficient building. Anomaly detection of building energy consumption is one …

Energy theft poses a significant challenge for all parties involved in energy distribution, and
its detection is crucial for maintaining stable and financially sustainable energy grids. One …

Building operations account for the largest proportion of energy use throughout the building
life cycle. The energy saving potential is considerable taking into account the existence of a …

Due to the recent advancements in the Internet of Things and data science techniques, a
wide range of studies have investigated the use of data mining (DM) and machine learning …

In the last decade, extended efforts have been poured into energy efficiency. Several energy
consumption datasets were henceforth published, with each dataset varying in properties …

Abstract Building Automation System (BAS) plays an important role in building operation
nowadays. A huge amount of building operational data is stored in BAS; however, the data …

Clustering algorithms have been successfully applied in analyzing building energy
consumption data. It has proven to be an effective technique to identify representative …

The prediction of building energy use is the basis for smart building operation, which
optimizes building performance through control and low-energy strategy. For reducing …