A review of studies applying machine learning models to predict occupancy and window-opening behaviours in smart buildings
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 …
predict occupancy and window-opening behaviour and their application in smart buildings …
A critical review on occupant behaviour modelling for building performance simulation of naturally ventilated school buildings and potential changes due to the COVID …
PB Franceschini, LO Neves - Energy and Buildings, 2022 - Elsevier
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 …
buildings' performance prediction versus reality, since, due to its uncertainty and …
Optimal control of HVAC and window systems for natural ventilation through reinforcement learning
Natural ventilation is a green building strategy that improves building energy efficiency,
indoor thermal environment, and air quality. However, in practice, it is not always clear when …
indoor thermal environment, and air quality. However, in practice, it is not always clear when …
Window opening model using deep learning methods
Occupant behavior (OB) and in particular window openings need to be considered in
building performance simulation (BPS), in order to realistically model the indoor climate and …
building performance simulation (BPS), in order to realistically model the indoor climate and …
Achieving natural ventilation potential in practice: Control schemes and levels of automation
A major challenge to fully achieve the natural ventilation (NV) potential in green buildings is
the control and coordination of windows and the HVAC system. Three main types of control …
the control and coordination of windows and the HVAC system. Three main types of control …
Perspectives of naturally ventilated buildings: A review
NRM Sakiyama, JC Carlo, J Frick, H Garrecht - Renewable and Sustainable …, 2020 - Elsevier
Naturally ventilated buildings have been worldwide increasingly welcomed, given the
current global awareness toward environmental sustainability, indoor health-quality and …
current global awareness toward environmental sustainability, indoor health-quality and …
Methods used in social sciences that suit energy research: A literature review on qualitative methods to assess the human dimension of energy use in buildings
Different stakeholders are involved in the energy consumption in buildings: occupants,
designers, managers, operators, policymakers, technology developers and vendors …
designers, managers, operators, policymakers, technology developers and vendors …
Real-time detection method of window opening behavior using deep learning-based image recognition in severe cold regions
C Sun, X Guo, T Zhao, Y Han - Energy and buildings, 2022 - Elsevier
The building industry plays an important role in the effort to achieve carbon neutrality, and
window opening behavior is a major contributor to building energy consumption. In severe …
window opening behavior is a major contributor to building energy consumption. In severe …
Simulating the impact of occupant behavior on energy use of HVAC systems by implementing a behavioral artificial neural network model
The current methods for simulating building energy consumption are often not accurate, and
various types of occupant behavior may explain this inaccuracy. The present study used the …
various types of occupant behavior may explain this inaccuracy. The present study used the …
In-situ monitoring of occupant behavior in residential buildings‒a timely review
Occupant behavior has a significant impact on building energy consumption and
sustainable development of the community. In-situ monitoring of occupant behavior is one of …
sustainable development of the community. In-situ monitoring of occupant behavior is one of …