A Digital Twin of a Water Distribution System by Using Graph Convolutional Networks for Pump Speed-Based State Estimation

A Digital Twin of a Water Distribution System by Using Graph Convolutional Networks for Pump Speed-Based State Estimation

Water distribution system monitoring is currently carried out using advanced real-time control technologies to achieve a higher operational efficiency. Data analysis techniques can be implemented for condition estimation, which are crucial tools for managing, developing, and operating water networks...

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Bibliographic Details
Main Authors: Carlos A. Bonilla, Ariele Zanfei, Bruno Brentan, Idel Montalvo, Joaquín Izquierdo
Format: Article
Language:English
Published: MDPI AG 2022-02-01
Series:Water
Subjects:
graph convolutional neural networks
machine learning
state estimation
water distribution system
hydraulic modeling
digital twin
Online Access:https://www.mdpi.com/2073-4441/14/4/514

Internet

https://www.mdpi.com/2073-4441/14/4/514

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