Graph neural networks for state estimation in water distribution systems

An EPANET compatible python package to simulate and analyze water distribution networks under disaster scenarios.

A GNN-based surrogate model of urban drainage networks.

Repository containing the solution of the Water Futures team for the Battle of the Network Demand Forecasting, held in Ferarra between 4th and 7th of July 2024.

EPyT: An EPANET-Python Toolkit for Smart Water Network Simulations

Water Distribution Network leak location using sparse sensor grids

Machine learning university research project focused on detecting underground equipment failure

A framework for identifying relevant leak event parameters such as the leak location, leakage area, and start time.