Alternatives to Contour Visualizations for Power Systems Data
August 17, 2023 Β· Declared Dead Β· π 2023 Workshop on Energy Data Visualization (EnergyVis)
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Authors
Isaiah Lyons-Galante, Morteza Karimzadeh, Samantha Molnar, Graham Johnson, Kenny Gruchalla
arXiv ID
2308.09153
Category
cs.HC: Human-Computer Interaction
Citations
3
Venue
2023 Workshop on Energy Data Visualization (EnergyVis)
Last Checked
4 months ago
Abstract
Electrical grids are geographical and topological structures whose voltage states are challenging to represent accurately and efficiently for visual analysis. The current common practice is to use colored contour maps, yet these can misrepresent the data. We examine the suitability of four alternative visualization methods for depicting voltage data in a geographically dense distribution system -- Voronoi polygons, H3 tessellations, S2 tessellations, and a network-weighted contour map. We find that Voronoi tessellations and network-weighted contour maps more accurately represent the statistical distribution of the data than regular contour maps.
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