Differential Machine Learning Model for Simulation of Water Supply Systems
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Date
2025Author
Mota, Sara
Pereira, Tiago C.
Sousa, Ana Luís
Brás, Marlene
Reis, Ana
Andrade-Campos, António
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AbstractAs the demand for essential resources like water and energy grows, the importance
of their efficient management has never been greater. Traditional tools like decision
support systems and hydraulic simulators such as EPANET have been employed to ...