Building occupancy estimation and detection: A review
Building occupancy is of great importance for energy efficient control of buildings. A large
number of works have been developed for the estimation and detection of building …
number of works have been developed for the estimation and detection of building …
Practical issues in implementing machine-learning models for building energy efficiency: Moving beyond obstacles
Implementing machine-learning models in real applications is crucial to achieving intelligent
building control and high energy efficiency. Over the past few decades, numerous studies …
building control and high energy efficiency. Over the past few decades, numerous studies …
Review on occupancy detection and prediction in building simulation
Y Ding, S Han, Z Tian, J Yao, W Chen, Q Zhang - Building Simulation, 2022 - Springer
Energy simulation results for buildings have significantly deviated from actual consumption
because of the uncertainty and randomness of occupant behavior. Such differences are …
because of the uncertainty and randomness of occupant behavior. Such differences are …
Prediction of occupancy level and energy consumption in office building using blind system identification and neural networks
Occupancy behaviour plays an important role in energy consumption in buildings. Currently,
the shallow understanding of occupancy has led to a considerable performance gap …
the shallow understanding of occupancy has led to a considerable performance gap …
Occupancy prediction through machine learning and data fusion of environmental sensing and Wi-Fi sensing in buildings
Occupancy information is crucial to building facility design, operation, and energy efficiency.
Many studies propose the use of environmental sensors (such as carbon dioxide, air …
Many studies propose the use of environmental sensors (such as carbon dioxide, air …
Blood glucose prediction model for type 1 diabetes based on artificial neural network with time-domain features
Predicting future blood glucose (BG) levels for diabetic patients will help them avoid
potentially critical health issues. We demonstrate the use of machine learning models to …
potentially critical health issues. We demonstrate the use of machine learning models to …
[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] Occupancy estimation with environmental sensors: the possibilities and limitations
Occupancy detection and estimation in buildings paves the way to improve the utilization of
lighting and HVAC systems, induce energy savings and enhance the well-being of the …
lighting and HVAC systems, induce energy savings and enhance the well-being of the …
Measuring indoor occupancy through environmental sensors: A systematic review on sensor deployment
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 …
information is valued more now due to the restrictions put in place to reduce the spread of …
Cross-source sensing data fusion for building occupancy prediction with adaptive lasso feature filtering
Fusing various sensing data sources can significantly improve the accuracy and reliability of
building occupancy detection. Fusing environmental sensors and wireless network signals …
building occupancy detection. Fusing environmental sensors and wireless network signals …