A Python package designed for the easy generation of hydraulic and water quality scenario data of water distribution networks.
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Updated
Aug 7, 2025 - Python
A Python package designed for the easy generation of hydraulic and water quality scenario data of water distribution networks.
An easy-to-use object-oriented Python package for water distribution system modelling based on EPANET.
DiTEC research
An EPANET compatible python package to simulate and analyze water distribution networks under disaster scenarios.
1st AI for Drinking Water Chlorination Challenge @ IJCAI-2025
A platform for accessing and sharing Water Distribution Network benchmarks and data sets
A Python package for implementing and evaluating control algorithms & strategies in smart water networks.
Attention Temporal Graph Convolutional Networks architecture on water distribution systems using Tensorflow
This repository contains parameter generation, simulation, and encapsulation code for the DiTEC-WDN dataset. Feel free to use it on your "private" WDN!
Source code used to support the Master's thesis "Descriptive and Predictive Modeling of Water Distribution Network Dynamics using Multivariate Time Series Data"
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
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