[HTML][HTML] A review on occupancy prediction through machine learning for enhancing energy efficiency, air quality and thermal comfort in the built environment

W Zhang, Y Wu, JK Calautit - Renewable and Sustainable Energy Reviews, 2022 - Elsevier
The occupants' presence, activities, and behaviour can significantly impact the building's
performance and energy efficiency. Currently, heating, ventilation, and air-conditioning …

[HTML][HTML] Deep and transfer learning for building occupancy detection: A review and comparative analysis

AN Sayed, Y Himeur, F Bensaali - Engineering Applications of Artificial …, 2022 - Elsevier
The building internet of things (BIoT) is quite a promising concept for curtailing energy
consumption, reducing costs, and promoting building transformation. Besides, integrating …

Smart Home Energy Management Systems in Internet of Things networks for green cities demands and services

MS Aliero, KN Qureshi, MF Pasha, G Jeon - Environmental Technology & …, 2021 - Elsevier
Today, 44% of global energy has been derived from fossil fuel, which currently poses a
threat to inhabitants and well-being of the environment. In a recent investigation of the global …

A systematic review and comprehensive analysis of building occupancy prediction

T Li, X Liu, G Li, X Wang, J Ma, C Xu, Q Mao - Renewable and Sustainable …, 2024 - Elsevier
Buildings account for a significant portion of the global energy consumption. Forecasting
personnel occupancy is critical for reducing energy consumption in buildings. This study …

Building occupancy estimation and detection: A review

Z Chen, C Jiang, L **e - Energy and Buildings, 2018 - Elsevier
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 …

[HTML][HTML] Connecting the indispensable roles of IoT and artificial intelligence in smart cities: A survey

H Nguyen, D Nawara, R Kashef - Journal of Information and Intelligence, 2024 - Elsevier
The pace of society development is faster than ever before, and the smart city paradigm has
also emerged, which aims to enable citizens to live in more sustainable cities that guarantee …

A review of studies applying machine learning models to predict occupancy and window-opening behaviours in smart buildings

X Dai, J Liu, X Zhang - Energy and Buildings, 2020 - Elsevier
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 …

A review of building occupancy measurement systems

K Sun, Q Zhao, J Zou - Energy and Buildings, 2020 - Elsevier
The human dimension information is crucial for efficient building energy saving, health and
productivity, comfort conditions and security management. A great number of studies have …

A comprehensive review of approaches to building occupancy detection

L Rueda, K Agbossou, A Cardenas, N Henao… - Building and …, 2020 - Elsevier
Detailed occupancy information in buildings is useful to improve the performance of energy
management systems in order to enable energy consumption savings and maintain …