The surge of machine learning and increasing data accessibility in buildings provide great
opportunities for applying machine learning to building energy system modeling and …

Building occupancy is of great importance for energy efficient control of buildings. A large
number of works have been developed for the estimation and detection of building …

In the metaverse, digital avatar plays an important role in representing human beings for
various interaction with virtual objects and environments, which puts a high demand on …

The human dimension information is crucial for efficient building energy saving, health and
productivity, comfort conditions and security management. A great number of studies have …

Precise occupancy information is extremely valuable for energy savings and optimization in
the built environment. Building management systems (BMSs) can automatically turn off the …

Over the recent years, WiFi sensing has been rapidly developed for privacy-preserving,
ubiquitous human-sensing applications, enabled by signal processing and deep-learning …

Traditional ventilation and air conditioning systems typically operate on a predetermined
schedule with fixed operating parameters. Occupant-centric control (OCC) strategies have …

Intelligent occupancy sensing is becoming a vital underpinning for various emerging
applications in smart homes, such as security surveillance and human behavior analysis …

Artificial lighting accounts for a significant proportion (19%) of energy consumption in
building environments. This large contribution calls for the creation of energy-efficient …

Occupancy schedules and density can have a substantial influence on building plug,
lighting, and air conditioning energy usage. In recent years, the study related to occupancy …