3 papers
math.OC2020
Probabilistic State Estimation in Water Networks
Shen Wang, Ahmad F. Taha, Nikolaos Gatsis +2
State estimation in water distribution networks (WDN), the problem of estimating all unknown network heads and flows given select measurements, is challenging due to the nonconvexi…
math.OC2020
A New Derivative-Free Linear Approximation for Solving the Network Water Flow Problem with Convergence Guarantees
Shen Wang, Ahmad F. Taha, Lina Sela +2
Addressing challenges in urban water infrastructure systems including aging infrastructure, supply uncertainty, extreme events, and security threats, depend highly on water distrib…
eess.SY2019
State Estimation in Water Distribution Networks through a New Successive Linear Approximation
Shen Wang, Ahmad F. Taha, Lina Sela +2
State estimation (SE) of water distribution networks (WDNs) is difficult to solve due to nonlinearity/nonconvexity of water flow models, uncertainties from parameters and demands,…