AI-big data analytics for building automation and management systems: a survey, actual challenges and future perspectives
In theory, building automation and management systems (BAMSs) can provide all the
components and functionalities required for analyzing and operating buildings. However, in …
components and functionalities required for analyzing and operating buildings. However, in …
[HTML][HTML] Virtual sensing in intelligent buildings and digitalization
S Yoon - Automation in Construction, 2022 - Elsevier
Virtual sensing technologies have a huge potential in an informative and reliable sensing
environment, which is essential to provide and maintain intelligent services in building life …
environment, which is essential to provide and maintain intelligent services in building life …
In-situ sensor virtualization and calibration in building systems
J Koo, S Yoon - Applied Energy, 2022 - Elsevier
In this study, in-situ sensor virtualization is proposed to overcome physical sensing
limitations, including sensor errors and management costs in long-term building operations …
limitations, including sensor errors and management costs in long-term building operations …
[HTML][HTML] Reduction of supply temperature in existing district heating: A review of strategies and implementations
Most of the existing district heating systems are second and third generation and operate
with supply temperature above 80–100° C. To meet long-term decarbonization targets …
with supply temperature above 80–100° C. To meet long-term decarbonization targets …
[HTML][HTML] Building digital twinning: Data, information, and models
S Yoon - Journal of Building Engineering, 2023 - Elsevier
This study proposes a novel framework and methodology for building digital twinning (BDT)
over the life cycle of a building. It aims to establish an intrinsic digital twin framework and …
over the life cycle of a building. It aims to establish an intrinsic digital twin framework and …
Autoencoder-driven fault detection and diagnosis in building automation systems: Residual-based and latent space-based approaches
Recently, data-driven fault detection and diagnosis (FDD) technologies have been studied
extensively to detect the fault status early and maintain the health of building automation …
extensively to detect the fault status early and maintain the health of building automation …
In situ modeling methodologies in building operation: A review
S Yoon - Building and Environment, 2023 - Elsevier
The building information and operational data generated during the building life cycle are
essential for realizing energy-efficient operation, indoor environmental quality, and …
essential for realizing energy-efficient operation, indoor environmental quality, and …
In situ model fusion for building digital twinning
S Yoon, J Koo - Building and Environment, 2023 - Elsevier
Building digital twins are crucial in holistic, synthetic, and supervisory digital environments
for intelligent and energy-efficient building operations. As buildings are designed …
for intelligent and energy-efficient building operations. As buildings are designed …
Improved convolutional neural network chiller early fault diagnosis by gradient-based feature-level model interpretation and feature learning
For chillers, fault diagnosis (FD) is important for maintaining system reliability and
performance. Deep learning methods, such as convolutional neural network (CNN), have …
performance. Deep learning methods, such as convolutional neural network (CNN), have …
In-situ observation virtual sensor in building systems toward virtual sensing-enabled digital twins
Sensing in building operations is essential to realize intelligent buildings and digital twin-
enabled operations. However, buildings have a limited sensing environment with sensor …
enabled operations. However, buildings have a limited sensing environment with sensor …