[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 …

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 …

[HTML][HTML] Building power consumption datasets: Survey, taxonomy and future directions

Y Himeur, A Alsalemi, F Bensaali, A Amira - Energy and Buildings, 2020 - Elsevier
In the last decade, extended efforts have been poured into energy efficiency. Several energy
consumption datasets were henceforth published, with each dataset varying in properties …

[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 …

Occupancy sensing in buildings: A review of data analytics approaches

H Saha, AR Florita, GP Henze, S Sarkar - Energy and Buildings, 2019 - Elsevier
A review of the literature pertaining to building occupancy detection, counting, and tracking–
three areas under the umbrella of building occupancy estimation–is presented with a focus …

Occupancy prediction in iot-enabled smart buildings: Technologies, methods, and future directions

I Khan, O Zedadra, A Guerrieri, G Spezzano - Sensors, 2024 - mdpi.com
In today's world, a significant amount of global energy is used in buildings. Unfortunately, a
lot of this energy is wasted, because electrical appliances are not used properly or …

Using stream data processing for real-time occupancy detection in smart buildings

H Elkhoukhi, M Bakhouya, D El Ouadghiri, M Hanifi - Sensors, 2022 - mdpi.com
Controlling active and passive systems in buildings with the aim of optimizing energy
efficiency and maintaining occupants' comfort is the major task of building management …

Transfer learning approach for occupancy prediction in smart buildings

M Khalil, S McGough, Z Pourmirza… - 2021 12th …, 2021 - ieeexplore.ieee.org
Accurate occupancy prediction in smart buildings is a key element to reduce building energy
consumption and control HVAC systems (Heating–Ventilation and–Air Conditioning) …

Implementation of IoT framework with data analysis using deep learning methods for occupancy prediction in a building

E Hitimana, G Bajpai, R Musabe, L Sibomana… - Future Internet, 2021 - mdpi.com
Many countries worldwide face challenges in controlling building incidence prevention
measures for fire disasters. The most critical issues are the localization, identification …

Prediction of residential building occupancy using Machine learning with integrated sensor and survey Data: Insights from a living lab in Morocco

K Bouyakhsaine, A Brakez, M Draou - Energy and Buildings, 2024 - Elsevier
Building occupancy information is essential for effective energy management in buildings
through the adoption of energy conservation and occupant-centric control strategies. These …