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Topology-Based Machine-Learning for Modeling Power-System Responses to Contingencies

This is the companion dataset to the presentation NREL/PR-6A20-77485, which was presented at the 2020 Joint Statistical Meeting on August 3, 2020. Developed for the machine-learning predictive modeling of power-system responses to disruptions, it…
power system
graph theory
topological data analysis
simulation
machine learning
resilience
Submitted 08/01/2020 - 08:43 by Brian W Bush

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…
visualization
distribution systems
transmission systems
Submitted 10/26/2022 - 21:10 by Kenny Gruchalla

Peregrine HPC Energy Research

Complete power and performance metric data for 10,000 jobs randomly selected from two years of the Peregrine system’s operation (all jobs prior to October, 2015). Complete power and performance metric data for jobs run on the Peregrine system in April,…
HPC
Peregrine
node usage
processors
power
Submitted 04/09/2024 - 14:47 by Caleb Phillips