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water-distribution-networks

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Part of the Battle of Water Networks competition series | WDSA/CCWI 2026, May 18-21, Paphos, Cyprus. Design & operate water distribution systems under deep uncertainty, featuring staged interventions, AI & policymaking.

  • Updated Dec 8, 2025
  • Makefile

WATER 4.0 predicts water leakage in distribution networks using a conditional GAN for scenario generation, an LSTM for leakage prediction, and CPSO for hyperparameter tuning, enabling accurate and probabilistic estimates.

  • Updated Sep 17, 2025
  • Python

This repository contains the benchmark and the implementation of the experiments from the paper "A Benchmark for Physics-informed Machine Learning of Chlorine States in Water Distribution Networks" by Luca Hermes, André Artelt, Stelios Vrachimis, Marios Polycarpou, and Barbara Hammer

  • Updated Jun 4, 2025
  • Python

Pipe size of pressurized irrigation networks that usually have a branched layout had been optimized by assuming a predetermined layout. Few researches have considered simultaneous layout and pipe size optimization. In this study, a hybrid approach that is a combination of pipe size optimizer and layout optimizer is adapted for simultaneous layout a

  • Updated Jan 29, 2024

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