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 …

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 …

Building ventilation accounts for up to 30% of the heat loss in commercial buildings and 25%
in industrial buildings. To effectively aid the reduction of energy consumption in the building …

Opening windows is by far the simplest means of ventilation. It is also crucial for energy
efficiency and for creating a comfortable indoor environment. During the last decade …

Artificial neural network (ANN) has acquired noticeable interest from the research
community to handle complex problems in Construction and Building engineering (CB). This …

Window-opening behavior profoundly affects indoor air quality, thermal comfort, and the
energy consumption of HVAC systems in office buildings. This paper presents the results of …

The increasing use of monitoring systems such as Building Management System (BMS) or
connected devices bring the opportunity to better evaluate, model or control both occupants' …

As the number of installed meters in buildings increases, there is a growing number of data
time-series that could be used to develop data-driven models to support and optimize …

This study explores how the past, both short and long-term, affects the predictive window
operation modeling in open-plan offices. To achieve this, the study proposes a deep …

The aim of this work is to develop and validate a miscellaneous electric loads (MEL)
predictive model that does not require occupant-wise or building-wise model training nor …