As technology continues to evolve, our society is becoming enriched with more intelligent
devices that help us perform our daily activities more efficiently and effectively. One of the …

Plug load management systems are touted as promising solutions to reduce the rising
energy consumption of plug loads in commercial buildings through different load monitoring …

The proliferation of sensing technologies has allowed the collection of occupancy-related
data to support various building applications, including adaptive HVAC and lighting controls …

Data missing has always occurred in data processing. To solve this problem, researchers
have improved the process methods of the missing data with diverse strategies, which range …

Personal thermal comfort models are used to predict individual-level thermal comfort
responses to inform design and control decisions of buildings to achieve optimal …

The increasing demand for Internet of Things (IoT) applications has resulted in vast amounts
of data, requiring the utilization of big data analytics. The integration of big data analytics in …

Point of interest (POI) data serves as a valuable source of semantic information for places of
interest and has many geospatial applications in real estate, transportation, and urban …

Smart energy management systems equipped with advanced sensing and Internet of Things
technologies allow users to monitor and manage their energy consumption through different …

Building automation and the advancement of sustainability and safety in internal spaces
benefit significantly from occupancy sensing. While particular traditional Machine Learning …

The availability of the building's operation data and occupancy information has been crucial
to support the evaluation of existing models and development of new data-driven …