Alternatives to Contour Visualizations for Power Systems Data

Isaiah Lyons-Galante, Morteza Karimzadeh, Samantha Molnar, Graham Johnson, Kenny Gruchalla

Research output: NRELPresentation


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.
Original languageAmerican English
Number of pages13
StatePublished - 2023

Publication series

NamePresented at 3rd Workshop on Energy Data Visualization (EnergyVis), 22 October 2023, Melbourne, Australia

NREL Publication Number

  • NREL/PR-2C00-87956


  • power systems
  • tessellation
  • visualization


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