Fusion of nonintrusive environmental sensors for occupancy detection in smart homes
L Zimmermann, R Weigel… - IEEE Internet of Things …, 2017 - ieeexplore.ieee.org
We presented an approach to detect and count occupants using a fusion of environmental
sensors from an indoor air quality measurement system. Environmental sensors, as …
sensors from an indoor air quality measurement system. Environmental sensors, as …
[HTML][HTML] Edge-based real-time occupancy detection system through a non-intrusive sensing system
Building automation and the advancement of sustainability and safety in internal spaces
benefit significantly from occupancy sensing. While particular traditional Machine Learning …
benefit significantly from occupancy sensing. While particular traditional Machine Learning …
Integrated sensor data processing for occupancy detection in residential buildings
Based on the data from US Energy Information Administration (EIA), the total annual energy
consumed by buildings in the United States has increased by 325% over the past 70 years …
consumed by buildings in the United States has increased by 325% over the past 70 years …
Thermal-sensor-based occupancy detection for smart buildings using machine-learning methods
In this article, we propose a novel approach to detect the occupancy behavior of a building
through the temperature and/or possible heat source information. The new method can be …
through the temperature and/or possible heat source information. The new method can be …
Machine learning based estimation of room occupancy using non-intrusive sensors
Buildings use a lot of energy to heat, ventilate, and cool. Making them demand-driven based
on human occupancy is one way to improve their efficiency. Supervised learning …
on human occupancy is one way to improve their efficiency. Supervised learning …
Smart spaces: occupancy detection using adaptive back-propagation neural network
In recent years, the concept of smart spaces and occupancy detection is crucial for creating
more efficient and sustainable buildings that prioritize both energy efficiency and occupant …
more efficient and sustainable buildings that prioritize both energy efficiency and occupant …
Device-free occupant activity sensing using WiFi-enabled IoT devices for smart homes
Intelligent occupancy sensing is becoming a vital underpinning for various emerging
applications in smart homes, such as security surveillance and human behavior analysis …
applications in smart homes, such as security surveillance and human behavior analysis …
Deep learning-based real-time building occupancy detection using AMI data
Building occupancy patterns facilitate successful development of the smart grid by
enhancing building-to-grid integration efficiencies. Current occupancy detection is limited by …
enhancing building-to-grid integration efficiencies. Current occupancy detection is limited by …
[HTML][HTML] Enhancing real-time nonintrusive occupancy estimation in buildings via knowledge fusion network
C Lu - Energy and Buildings, 2024 - Elsevier
Real-time nonintrusive occupancy estimation can maximize the use of existing sensors to
infer occupant information in buildings with the advantages of fewer privacy concerns and …
infer occupant information in buildings with the advantages of fewer privacy concerns and …
[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 …