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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

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

Heavy-Duty Vehicle Activity for EPA MOVES

The U.S. Environmental Protection Agency’s (EPA’s) MOtor Vehicle Emission Simulator (MOVES) is a publicly available tool used by researchers and policymakers to help understand motor vehicle emission sources at a national, county, and project level…
Fleet DNA
CE-CERT
on-road
heavy-duty vehicles
start and idle activity
MOVES.
Submitted 06/04/2021 - 13:00 by Chen Zhang