Occupant behavior has been widely considered as one of the key influencing factors on
building energy consumption. The complexity of its formation mechanism and the dynamic …

In the last four decades several methods have been used to model occupants' presence and
actions (OPA) in buildings according to different purposes, available computational power …

Very little work has been done on the feasibility of Machine Learning (ML) for predicting
buildings energy demand right at the design stage. This feasibility, if proven, would help to …

Islands are constrained by geographical conditions in terms of energy delivery. Due to weak
connections with the mainland and the power grid, the diversity of island energy demand …

Interior layouts of a building may influence the presence and movement of occupants, which
can lead them to participate in a certain activity, energy-saving behaviour for instance, which …

Occupant behaviour (OB) is one of the main causes of the energy performance gap between
buildings' performance prediction versus reality, since, due to its uncertainty and …

The complexity of occupant behavior is one of the major contributors to uncertainty in
building performance simulation. Agent-based modeling (ABM), a computational simulation …

We developed a framework to investigate the drivers for and barriers against adopting
integrated smart home technologies to encourage broader adoption of these technologies …

Energy consumption in buildings depends on several physical factors, including its physical
characteristics, various building services systems/appliances used, and the outdoor …

The thermal comfort and thermal sensation of occupants can significantly impact the overall
performance of the building. However, very little is known about how occupants perceive or …