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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 contains results of power-system c...
Bush, B. National Renewable Energy Laboratory
Aug 01, 2020
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2 Resources
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NLR HPC Eagle GPU Node Metrics
Ganglia node metrics and iLO (Integrated Lights Out) power data captured from six representative Eagle GPU nodesThe Eagle HPC operated at NLR from 2019 through 2024. Eagle was a 2,000-node, 8-petaflop system. This dataset is a representative sample of metrics for 6 of the GPU node...
Clark, S. National Laboratory of the Rockies
Jan 29, 2026
16 Resources
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16 Resources
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Publicly accessible