The impacts of occupant behavior on building energy consumption: A review

S Chen, G Zhang, X Xia, Y Chen, S Setunge… - … Energy Technologies and …, 2021 - Elsevier
Three main categories of occupant behaviors were summarized for building through this
literature review, including the occupancy, interactions and behavioral efficiency. The results …

Modeling occupant behavior in buildings

S Carlucci, M De Simone, SK Firth, MB Kjærgaard… - Building and …, 2020 - Elsevier
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 …

Automated cognitive health assessment in smart homes using machine learning

AR Javed, LG Fahad, AA Farhan, S Abbas… - Sustainable Cities and …, 2021 - Elsevier
Abstract The Internet of Things (IoT) provides smart solutions for future urban communities to
address key benefits with the least human intercession. A smart home offers the necessary …

An artificial neural network (ANN) expert system enhanced with the electromagnetism-based firefly algorithm (EFA) for predicting the energy consumption in buildings

DK Bui, TN Nguyen, TD Ngo, H Nguyen-Xuan - Energy, 2020 - Elsevier
In this study, a new hybrid model, namely the Electromagnetism-based Firefly Algorithm-
Artificial Neural Network (EFA-ANN), is proposed to forecast the energy consumption in …

[HTML][HTML] The field of human building interaction for convergent research and innovation for intelligent built environments

B Becerik-Gerber, G Lucas, A Aryal, M Awada… - Scientific Reports, 2022 - nature.com
Abstract Human-Building Interaction (HBI) is a convergent field that represents the growing
complexities of the dynamic interplay between human experience and intelligence within …

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 …

Perspectives on a BIM-integrated software platform for robotic construction through Contour Crafting

O Davtalab, A Kazemian, B Khoshnevis - Automation in construction, 2018 - Elsevier
Robotic construction through concrete 3D printing is an in-progress revolution in
construction industry. While significant progress is made on hardware related challenges …

Can non-intrusive load monitoring be used for identifying an appliance's anomalous behaviour?

H Rashid, P Singh, V Stankovic, L Stankovic - Applied energy, 2019 - Elsevier
Identification of faulty appliance behaviour in real time can signal energy wastage and the
need for appliance servicing or replacement leading to energy savings. The problem of …

[HTML][HTML] Building occupancy and energy consumption: Case studies across building types

S Zhan, A Chong - Energy and Built Environment, 2021 - Elsevier
Past research has shown that occupancy information can be used to reduce building energy
consumption through occupant-based controls and by mitigating wasteful occupant …

[HTML][HTML] Automating occupant-building interaction via smart zoning of thermostatic loads: A switched self-tuning approach

S Baldi, CD Korkas, M Lv, EB Kosmatopoulos - Applied energy, 2018 - Elsevier
Load management actions in large buildings are pre-programmed by field engineers/users
in the form of if-then-else rules for the set point of the thermostat. This fixed set of actions …