Building occupancy estimation and detection: A review
Building occupancy is of great importance for energy efficient control of buildings. A large
number of works have been developed for the estimation and detection of building …
number of works have been developed for the estimation and detection of building …
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 …
Occupancy prediction using deep learning approaches across multiple space types: A minimum sensing strategy
The proliferation of sensing technologies has allowed the collection of occupancy-related
data to support various building applications, including adaptive HVAC and lighting controls …
data to support various building applications, including adaptive HVAC and lighting controls …
[HTML][HTML] Powering nodes of wireless sensor networks with energy harvesters for intelligent buildings: A review
Intelligent buildings play a fundamental role in achieving efficient energy management in the
building sector in many countries worldwide. Improving energy consumption within a …
building sector in many countries worldwide. Improving energy consumption within a …
Review on occupancy detection and prediction in building simulation
Y Ding, S Han, Z Tian, J Yao, W Chen, Q Zhang - Building Simulation, 2022 - Springer
Energy simulation results for buildings have significantly deviated from actual consumption
because of the uncertainty and randomness of occupant behavior. Such differences are …
because of the uncertainty and randomness of occupant behavior. Such differences are …
A literature review on driving factors and contextual events influencing occupants' behaviours in buildings
The present paper illustrates the results of a literature review on occupants' behaviours,
assessing the actions' drivers. There is no general agreement about the reasons people …
assessing the actions' drivers. There is no general agreement about the reasons people …
A novel ensemble ELM for human activity recognition using smartphone sensors
Human activity recognition plays a unique role in many important applications, including
ubiquitous computing, health-care services, and smart buildings. Due to the nonintrusive …
ubiquitous computing, health-care services, and smart buildings. Due to the nonintrusive …
Towards future BIM technology innovations: A bibliometric analysis of the literature
A Khudhair, H Li, G Ren, S Liu - Applied Sciences, 2021 - mdpi.com
The evolution of the construction industry is associated with the continuous implementation
of new technologies. Building Information Modelling (BIM) has revolutionised the …
of new technologies. Building Information Modelling (BIM) has revolutionised the …
Opportunistic occupancy-count estimation using sensor fusion: A case study
Estimation of occupancy counts in commercial and institutional buildings enables enhanced
energy-use management and workspace allocation. This paper presents the analysis of cost …
energy-use management and workspace allocation. This paper presents the analysis of cost …
Occupancy prediction through machine learning and data fusion of environmental sensing and Wi-Fi sensing in buildings
Occupancy information is crucial to building facility design, operation, and energy efficiency.
Many studies propose the use of environmental sensors (such as carbon dioxide, air …
Many studies propose the use of environmental sensors (such as carbon dioxide, air …