A Visual Analytics System for Water Distribution System Optimization
| Autor: | Yiran Li, Kwan-Liu Ma, Frank J. Loge, Erin Musabandesu, Takanori Fujiwara |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Scheme (programming language)
FOS: Computer and information sciences Visual analytics business.industry Computer science Control (management) Principal (computer security) Computer Science - Human-Computer Interaction Usability computer.software_genre 6. Clean water Human-Computer Interaction (cs.HC) Distribution system Data mining business computer Energy (signal processing) computer.programming_language |
| Popis: | 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. To be included in the IEEE VIS 2021 Short Paper Proceedings |
| Databáze: | OpenAIRE |
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