[HTML][HTML] A critical review of occupant energy consumption behavior in buildings: How we got here, where we are, and where we are headed
X Xu, H Yu, Q Sun, VWY Tam - Renewable and Sustainable Energy …, 2023 - Elsevier
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 …
building energy consumption. The complexity of its formation mechanism and the dynamic …
Review of multi‐domain approaches to indoor environmental perception and behaviour
M Schweiker, E Ampatzi, MS Andargie… - Building and …, 2020 - Elsevier
Building occupants are continuously exposed to multiple indoor environmental stimuli,
including thermal, visual, acoustic, and air quality related factors. Moreover, personal and …
including thermal, visual, acoustic, and air quality related factors. Moreover, personal and …
The interaction between humans and buildings for energy efficiency: A critical review
T Harputlugil, P de Wilde - Energy Research & Social Science, 2021 - Elsevier
Buildings consume energy for different purposes. One core function is to provide healthy
and comfortable living conditions for the humans that inhabit these buildings. The …
and comfortable living conditions for the humans that inhabit these buildings. The …
The impacts of occupant behavior on building energy consumption: A review
Three main categories of occupant behaviors were summarized for building through this
literature review, including the occupancy, interactions and behavioral efficiency. The results …
literature review, including the occupancy, interactions and behavioral efficiency. The results …
Modeling occupant behavior in buildings
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 …
actions (OPA) in buildings according to different purposes, available computational power …
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 review of select human-building interfaces and their relationship to human behavior, energy use and occupant comfort
In recent years, research has emerged to quantitatively and qualitatively understand
occupants' interactions with buildings. However, there has been surprisingly little research …
occupants' interactions with buildings. However, there has been surprisingly little research …
Transition towards carbon neutrality: Forecasting Hong Kong's buildings carbon footprint by 2050 using a machine learning approach
H Dong, L Zhang - Sustainable Production and Consumption, 2023 - Elsevier
Hong Kong has planned to achieve zero-carbon emissions before 2050. Hong Kong's
building sector is responsible for approximately 60% of carbon emissions, while its …
building sector is responsible for approximately 60% of carbon emissions, while its …
A deep learning approach towards the detection and recognition of opening of windows for effective management of building ventilation heat losses and reducing …
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 …
in industrial buildings. To effectively aid the reduction of energy consumption in the building …
Comparative analysis on predictability of natural ventilation rate based on machine learning algorithms
The demand for efficient natural ventilation (NV) systems has increased for the development
of sustainable buildings. However, the uncertainty of NV remains a challenging issue for …
of sustainable buildings. However, the uncertainty of NV remains a challenging issue for …