A Visual Analytics System for Water Distribution System Optimization

Yiran Li, Erin Musabandesu, Takanori Fujiwara, Frank J. Loge, Kwan Liu Ma

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The optimization of water distribution systems (WDSs) is vital to minimize energy costs required for their operations. A principal approach taken by researchers is identifying an optimal scheme for water pump controls through examining computational simulations of WDSs. However, due to a large number of possible control combinations and the complexity of WDS simulations, it remains non-trivial to identify the best pump controls by reviewing the simulation results. To address this problem, we design a visual analytics system that helps understand relationships between simulation inputs and outputs towards better optimization. Our system incorporates interpretable machine learning as well as multiple linked visualizations to capture essential input-output relationships from complex WDS simulations. We demonstrate our system's effectiveness through a practical case study and evaluate its usability through expert reviews. Our results show that our system can lessen the burden of analysis and assist in determining optimal operating schemes.

Original languageEnglish (US)
Title of host publicationProceedings - 2021 IEEE Visualization Conference - Short Papers, VIS 2021
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages126-130
Number of pages5
ISBN (Electronic)9781665433358
DOIs
StatePublished - 2021
Event2021 IEEE Visualization Conference, VIS 2021 - Virtual, Online, United States
Duration: Oct 24 2021Oct 29 2021

Publication series

NameProceedings - 2021 IEEE Visualization Conference - Short Papers, VIS 2021

Conference

Conference2021 IEEE Visualization Conference, VIS 2021
Country/TerritoryUnited States
CityVirtual, Online
Period10/24/2110/29/21

ASJC Scopus subject areas

  • Computer Science Applications
  • Media Technology
  • Modeling and Simulation

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