A review of smart building sensing system for better indoor environment control

B Dong, V Prakash, F Feng, Z O'Neill - Energy and Buildings, 2019 - Elsevier
This paper aims to provide a systemic review of how indoor sensors influence in managing
optimal energy saving, thermal comfort, visual comfort, and indoor air quality in the built …

Sensing within smart buildings: A survey

W Alsafery, O Rana, C Perera - ACM Computing Surveys, 2023 - dl.acm.org
Increasingly, buildings are being fitted with sensors for the needs of different sectors, such
as education, industry and business. Using Internet of Things devices combined with …

Occupancy detection systems for indoor environments: A survey of approaches and methods

D Trivedi, V Badarla - Indoor and Built Environment, 2020 - journals.sagepub.com
Utilization of smart services for indoor environments has gained extensive interest in the
past decade due to the resulting increases in energy savings, user comfort and degree of …

Non-intrusive room occupancy prediction performance analysis using different machine learning techniques

MS Aliero, MF Pasha, DT Smith, I Ghani, M Asif… - Energies, 2022 - mdpi.com
Recent advancements in the Internet of Things and Machine Learning techniques have
allowed the deployment of sensors on a large scale to monitor the environment and model …

Measuring indoor occupancy through environmental sensors: A systematic review on sensor deployment

AR Mena, HG Ceballos, J Alvarado-Uribe - Sensors, 2022 - mdpi.com
The COVID-19 pandemic has changed our common habits and lifestyle. Occupancy
information is valued more now due to the restrictions put in place to reduce the spread of …

Estimating occupancy levels in enclosed spaces using environmental variables: A fitness gym and living room as evaluation scenarios

A Vela, J Alvarado-Uribe, M Davila… - Sensors, 2020 - mdpi.com
The understanding of occupancy patterns has been identified as a key contributor to achieve
improvements in energy efficiency in buildings since occupancy information can benefit …

Occupancy prediction in buildings: An approach leveraging lstm and federated learning

I Khan, A Guerrieri, G Spezzano… - 2022 IEEE Intl Conf on …, 2022 - ieeexplore.ieee.org
Nowadays, the energy used in commercial, residential, and office buildings represents a
significant amount of the total energy spent worldwide. In these contexts, energy can be …

[HTML][HTML] Comparing the life cycle costs of a traditional and a smart HVAC control system for Australian office buildings

P Gobinath, RH Crawford, M Traverso… - Journal of Building …, 2024 - Elsevier
Many smart technologies have been introduced in buildings with the aim to reduce the
energy and GHG emissions associated with their operation, particularly through improved …

Customized IoT enabled wireless sensing and monitoring platform for preservation of artwork in heritage buildings

J Shah, B Mishra - 2016 International Conference on Wireless …, 2016 - ieeexplore.ieee.org
In this paper we present a customized Internet of Things (IoT) enabled Wireless Sensing and
Monitoring Platform to monitor the temperature, relative humidity and light in the context of …

A Real-life Evaluation of Supervised and Semi-supervised Machine Learning Approaches for Indirect Estimation of Indoor Occupancy

A Mena-Martinez, MD Delgado, J Alvarado-Uribe… - IEEE …, 2024 - ieeexplore.ieee.org
Occupancy information is essential for space management, energy efficiency, and in times of
the COVID-19 pandemic, for crowd control. Obtaining labeled data is challenging due to …