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. |
Submitted
• Oct •
26
2022
Computational Science
Cite This Dataset
Gruchalla, Kenny; Molnar, Samantha; Johnson, Graham (2022): Visualization Encoding Experiments for Power Systems Analysis. National Renewable Energy Laboratory. https://data.nrel.gov/submissions/200
About This Dataset
200
NREL/JA-2C00-84305
Public
10/27/2022
Facilities
Energy Systems Integration Facility (ESIF)
High Performance Computing Center (HPC)
Funding Organization
NREL Internal (LDRD, BD)
Research Areas
Energy Analysis
Energy Systems Integration
License
View License