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[HTML][HTML] Deep and transfer learning for building occupancy detection: A review and comparative analysis
The building internet of things (BIoT) is quite a promising concept for curtailing energy
consumption, reducing costs, and promoting building transformation. Besides, integrating …
consumption, reducing costs, and promoting building transformation. Besides, integrating …
A review of building occupancy measurement systems
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 …
productivity, comfort conditions and security management. A great number of studies have …
[HTML][HTML] Building power consumption datasets: Survey, taxonomy and future directions
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 …
consumption datasets were henceforth published, with each dataset varying in properties …
[HTML][HTML] Building occupancy and energy consumption: Case studies across building types
Past research has shown that occupancy information can be used to reduce building energy
consumption through occupant-based controls and by mitigating wasteful occupant …
consumption through occupant-based controls and by mitigating wasteful occupant …
Occupancy sensing in buildings: A review of data analytics approaches
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 …
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
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 …
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
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 …
efficiency and maintaining occupants' comfort is the major task of building management …
Transfer learning approach for occupancy prediction in smart buildings
Accurate occupancy prediction in smart buildings is a key element to reduce building energy
consumption and control HVAC systems (Heating–Ventilation and–Air Conditioning) …
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
Many countries worldwide face challenges in controlling building incidence prevention
measures for fire disasters. The most critical issues are the localization, identification …
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
Building occupancy information is essential for effective energy management in buildings
through the adoption of energy conservation and occupant-centric control strategies. These …
through the adoption of energy conservation and occupant-centric control strategies. These …