[HTML][HTML] Review of data-driven energy modelling techniques for building retrofit
In order to meet the ambitious emission-reduction targets of the Paris Agreement, energy
efficient transition of the building sector requires building retrofit methodologies as a critical …
efficient transition of the building sector requires building retrofit methodologies as a critical …
Fault tolerance structures in wireless sensor networks (WSNs): Survey, classification, and future directions
The Industrial Revolution 4.0 (IR 4.0) has drastically impacted how the world operates. The
Internet of Things (IoT), encompassed significantly by the Wireless Sensor Networks …
Internet of Things (IoT), encompassed significantly by the Wireless Sensor Networks …
On the reliability of industrial internet of things from systematic perspectives: Evaluation approaches, challenges, and open issues
In the light of Industry 4.0 revolution, the Industrial Internet of Things (IIoT) allows digitalizing
manufacturing processes and increasing the digital connectivity and automation in the smart …
manufacturing processes and increasing the digital connectivity and automation in the smart …
Data-driven virtual sensing for spatial distribution of temperature and humidity
Visibility of thermal conditions at various locations in a building opens up several avenues in
building automation and control. For instance, spatial thermal relationships can be exploited …
building automation and control. For instance, spatial thermal relationships can be exploited …
Sensor Fault Diagnosis and Calibration Techniques in Building Energy Systems: A Review and Future Outlook
K Hu, C Yan, J Ye, Y Xu, Z Zhu, Y Gong - Building and Environment, 2024 - Elsevier
While extensive research has been conducted on fault detection and diagnosis (FDD) and
sensor calibration in building energy systems, a comprehensive overview of the technical …
sensor calibration in building energy systems, a comprehensive overview of the technical …
Enhancing digital twin efficiency in indoor environments: Virtual sensor-driven optimization of physical sensor combinations
Multiple sensor nodes are preferred for the development of digital twins in indoor
environments; however, it poses significant financial burdens. Therefore, considering both …
environments; however, it poses significant financial burdens. Therefore, considering both …
An open-source wireless sensor node platform with active node-level reliability for monitoring applications
In wireless sensor networks, the quality of the provided data is influenced by the properties
of the sensor nodes. Often deployed in large numbers, they usually consist of low-cost …
of the sensor nodes. Often deployed in large numbers, they usually consist of low-cost …
Data-driven simulation for energy and local comfort optimization: Case study of a laboratory
Y Yadav, A Kowli - Journal of Building Engineering, 2022 - Elsevier
Recent control strategies for heating, ventilation and air conditioning (HVAC) in buildings
consider ambient conditions, spatial temperature distribution and occupancy density to …
consider ambient conditions, spatial temperature distribution and occupancy density to …
Machine Learning and Optimization in Energy Management Systems for Plug-In Hybrid Electric Vehicles: A Comprehensive Review
This paper provides a comprehensive review of machine learning strategies and
optimization formulations employed in energy management systems (EMS) tailored for plug …
optimization formulations employed in energy management systems (EMS) tailored for plug …
A Probabilistic Fault Detection Approach for the Management of Energy and Environment in Buildings Using BiGRU-SA Approach
Over the next two decades, energy use in buildings is expected to increase by more than 40
percent. Already high electricity demand is anticipated to increase. Lessening the burden of …
percent. Already high electricity demand is anticipated to increase. Lessening the burden of …