Alternatives to Contour Visualizations for Power Systems Data

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

Research output: Contribution to conferencePaper


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 pages5
StatePublished - 2023
Event2023 Workshop on Energy Data Visualization (EnergyVis) - Melbourne, Australia
Duration: 22 Oct 202323 Oct 2023


Conference2023 Workshop on Energy Data Visualization (EnergyVis)
CityMelbourne, Australia

NREL Publication Number

  • NREL/CP-2C00-87207


  • power systems
  • tessellation
  • visualization


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