Algorithm-Informed Graph Neural Networks for Leakage Detection and Localization in Water Distribution Networks
Detecting and localizing leakages is a significant challenge for the efficient and sustainable
management of water distribution networks (WDN). Leveraging the inherent graph structure …
management of water distribution networks (WDN). Leveraging the inherent graph structure …
DiTEC: Digital twin for evolutionary changes in water distribution networks
Conventional digital twins (DT) for critical infrastructures are widely used to model and
simulate the system's state. But fundamental environment changes bring challenges for DT …
simulate the system's state. But fundamental environment changes bring challenges for DT …
[HTML][HTML] Large-scale multipurpose benchmark datasets for assessing data-driven deep learning approaches for water distribution networks
Currently, the number of common benchmark datasets that researchers can use straight
away for assessing data-driven deep learning approaches is very limited. Most studies …
away for assessing data-driven deep learning approaches is very limited. Most studies …
Node Pressure Prediction by Aggregating Long-Range Information
P Xu, W Yu, X Zhou, X Chen, K Ye - International Conference on Internet of …, 2024 - Springer
Predicting node pressure accurately is of paramount importance for the management of
water distribution networks (WDNs). Recent advances have highlighted the efficacy of graph …
water distribution networks (WDNs). Recent advances have highlighted the efficacy of graph …
[HTML][HTML] A Full and Simplified Water Distribution Network Model Comparison of Skeletonization Results
B Tugume, M Castro-Gama, D Ayala-Cabrera - Engineering Proceedings, 2024 - mdpi.com
Skeletonization involves simplifying dense large-scale water distribution network (WDN)
models by preserving key components that significantly impact network behavior. This study …
models by preserving key components that significantly impact network behavior. This study …
Node Pressure Prediction by Aggregating
P Xu, W Yu, X Zhou¹, X Chen - Internet of Things-ICIOT 2024: 9th …, 2024 - books.google.com
Predicting node pressure accurately is of paramount impor-tance for the management of
water distribution networks (WDNs). Recent advances have highlighted the efficacy of graph …
water distribution networks (WDNs). Recent advances have highlighted the efficacy of graph …