[HTML][HTML] Energy modelling and control of building heating and cooling systems with data-driven and hybrid models—A review

Y Balali, A Chong, A Busch, S O'Keefe - Renewable and Sustainable …, 2023 - Elsevier
Implementing an efficient control strategy for heating, ventilation, and air conditioning
(HVAC) systems can lead to improvements in both energy efficiency and thermal …

[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 …

Computer vision to advance the sensing and control of built environment towards occupant-centric sustainable development: A critical review

J Wang, L Jiang, H Yu, Z Feng, R Castaño-Rosa… - … and Sustainable Energy …, 2024 - Elsevier
As urban development progresses, the built environment control has faced more critical
challenges in improving energy efficiency, air quality, and environmental comfort. Occupant …

[HTML][HTML] State-of-the-art review of occupant behavior modeling and implementation in building performance simulation

O Ahmed, N Sezer, M Ouf, LL Wang… - … and Sustainable Energy …, 2023 - Elsevier
Occupant Behavior (OB) is one of the major drivers of building energy consumption.
However, OB is usually oversimplified in Building Performance Simulation (BPS), resulting …

[HTML][HTML] From time-series to 2d images for building occupancy prediction using deep transfer learning

AN Sayed, Y Himeur, F Bensaali - Engineering Applications of Artificial …, 2023 - Elsevier
Building occupancy information could aid energy preservation while simultaneously
maintaining the end-user comfort level. Energy conservation becomes essential since …

Building occupancy forecasting: A systematical and critical review

Y Jin, D Yan, A Chong, B Dong, J An - Energy and buildings, 2021 - Elsevier
Indoor environment construction for occupants has high energy consumption; as such,
occupancy plays a noteworthy role in the complete life cycle phase of buildings, including …

Occupancy detection and localization strategies for demand modulated appliance control in Internet of Things enabled home energy management system

A Natarajan, V Krishnasamy, M Singh - Renewable and Sustainable …, 2022 - Elsevier
Smart scheduling of domestic appliances based on user demand is an important aspect of
any home energy management system. Such a demand driven operation can be performed …

[HTML][HTML] Deep learning and computer vision based occupancy CO2 level prediction for demand-controlled ventilation (DCV)

S Wei, PW Tien, TW Chow, Y Wu, JK Calautit - Journal of Building …, 2022 - Elsevier
The present study investigated the potential of the application of a live occupancy detection
approach to assist the operations of demand-controlled ventilation (DCV) systems to ensure …

Federated learning-based short-term building energy consumption prediction method for solving the data silos problem

J Li, C Zhang, Y Zhao, W Qiu, Q Chen, X Zhang - Building Simulation, 2022 - Springer
Transfer learning is an effective method to predict the energy consumption of information-
poor buildings by learning transferable knowledge from operational data of information-rich …

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 …