Over the past 15 years, the evaluation of energy demand and use in buildings has become
increasingly acute due to growing scientific and political pressure around the world in …

Occupant behavior is now widely recognized as a major contributing factor to uncertainty of
building performance. While a surge of research on the topic has occurred over the past four …

Accurate modelling of the weather's temporal and spatial impacts on building energy
demand is critical to decarbonizing energy systems. Here we introduce a customizable …

The “human dimensions” of energy use in buildings refer to the energy-related behaviors of
key stakeholders that affect energy use over the building life cycle. Stakeholders include …

Occupant behavior is one of the major factors influencing building energy consumption and
contributing to uncertainty in building energy use prediction and simulation. Currently the …

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 …

More than 30% of the total primary energy in the world is consumed in buildings. It is crucial
to reduce building energy consumption in order to preserve energy resources and mitigate …

Occupant behavior is nowadays acknowledged as a main source of discrepancy between
predicted and actual building performance; therefore, researchers attempt to model …

This study carries out a literature review on studies using machine learning (ML) models to
predict occupancy and window-opening behaviour and their application in smart buildings …

Reducing energy consumption in the buildings sector requires significant changes, but
technology alone may fail to guarantee efficient energy performance. Human behavior plays …