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 …
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 …
Modeling and multiobjective optimization of indoor airborne disease transmission risk and associated energy consumption for building HVAC systems
The COVID-19 pandemic has renewed interest in assessing how the operation of HVAC
systems influences the risk of airborne disease transmission in buildings. Various …
systems influences the risk of airborne disease transmission in buildings. Various …
A framework to identify key occupancy indicators for optimizing building operation using WiFi connection count data
Adapting building systems' operation to occupancy variations can provide significant energy
savings, but this is typically constrained by the unavailability of occupancy information …
savings, but this is typically constrained by the unavailability of occupancy information …
[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 …
Building occupancy detection and localization using CCTV camera and deep learning
S Hu, P Wang, C Hoare… - IEEE Internet of Things …, 2022 - ieeexplore.ieee.org
Occupancy information plays a key role in analyzing and improving building energy
performance. The advances of Internet of Things (IoT) technologies have engendered a shift …
performance. The advances of Internet of Things (IoT) technologies have engendered a shift …
Non-intrusive room occupancy prediction performance analysis using different machine learning techniques
Recent advancements in the Internet of Things and Machine Learning techniques have
allowed the deployment of sensors on a large scale to monitor the environment and model …
allowed the deployment of sensors on a large scale to monitor the environment and model …
[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 …
Estimating occupancy levels in enclosed spaces using environmental variables: A fitness gym and living room as evaluation scenarios
The understanding of occupancy patterns has been identified as a key contributor to achieve
improvements in energy efficiency in buildings since occupancy information can benefit …
improvements in energy efficiency in buildings since occupancy information can benefit …
Occupancy estimation using IoT sensors and machine learning: Incorporating ventilation system operating state and preprocessed differential pressure data
Indoor occupancy should be measured to reduce energy consumption in buildings and
predict infection risk. Various studies used machine learning to measure occupancy using …
predict infection risk. Various studies used machine learning to measure occupancy using …