Visualization Encoding Experiments for Power Systems Analysis

Through a human factors study, we evaluated the use of contour and glyph visualizations for two modern power systems models: an urban distribution model and a large-scale transmission model. This dataset provides model data and scripts for recreating the power flow data and visualizations used in the study, in addition to the study results and statistical analysis.
4 Data Resources
Name Size Type Resource Description History
README 547 bytes Document Dataset contents
Data Analysis 1.27 MB Archive Human factors data and statistical analysis.
Frequency Experiment 652.7 KB Archive Data and files for recreating the transmission system frequency visualizations.
Voltage Experiment 25.94 MB Archive Data and files for recreating the distribution system visualizations.
Author Information
Kenny Gruchalla, Computational Science, ORCID iD: 0000-0002-8155-1175
Samantha Molnar, Computational Science
Graham Johnson, Computational Science, ORCID iD: 0000-0002-4456-6909
Cite This Dataset
Gruchalla, Kenny; Molnar, Samantha; Johnson, Graham (2022): Visualization Encoding Experiments for Power Systems Analysis. National Renewable Energy Laboratory.
About This Dataset
Energy Systems Integration Facility (ESIF)
High Performance Computing Center (HPC)
Funding Organization
NREL Internal (LDRD, BD)
Research Areas
Energy Analysis
Energy Systems Integration
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