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Graph Neural Networks for State Estimation in Water Distribution Systems: Application of Supervised and Semisupervised Learning
Publisher: ASCE
Abstract: Emerging trends of resilient and reliable water infrastructure advocate for the development of efficient state estimation (SE) techniques in water distribution systems (WDSs). SE refers to estimating the flows and heads ...
Hybrid Method of Recovery: Combining Topology and Optimization for Transportation Systems
Publisher: ASCE
Abstract: Designing effective recovery strategies for damaged networks is important across built, human, and natural systems. Postperturbation network recovery has been motivated by two distinct philosophies, specifically, the use ...
Streaming Smart Meter Data Integration to Enable Dynamic Demand Assignment for Real-Time Hydraulic Simulation
Publisher: ASCE
Abstract: Water distribution system models have long been widely used for design and planning purposes. Their application for supporting real-time operational decisions has been also gaining increasing interest over the past decade. ...
Comprehensive Framework for Controlling Nonlinear Multispecies Water Quality Dynamics
Publisher: ASCE
Abstract: Tracing disinfectant (e.g., chlorine) and contaminants evolution in water networks requires the solution of one-dimensional (1D) advection-reaction (AR) partial differential equations (PDEs). With the absence of ...
Modeling in the COVID-19 Pandemic: Overcoming the Water Sector’s Data Struggles to Realize the Potential of Hydraulic Models
Publisher: ASCE
Abstract: Hydraulic models can provide efficient and cost-effective ways for water utilities to evaluate changes in operating conditions (e.g., population dynamics, disasters), thereby increasing system resiliency during crises. ...