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This technical paper discusses the regularization of an inverse problem for parameter estimation in water distribution networks (WDNs), emphasizing the importance of accurate hydraulic models for operational tasks. It introduces a novel data-driven strategy for tuning regularization hyper-parameters and validating results using a limited-memory quasi-Newton method (L-BFGS-B). The study includes extensive experimental data from an operational WDN to assess the robustness of the proposed method and encourages

Author

diegotobarubioksa

Language

EN