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

    Metadata Updated: March 21, 2026

    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 contingency analyses along with graph and topology measurements under each contingency scenario of the power system.

    Access & Use Information

    Public: This dataset is intended for public access and use. License: Creative Commons Attribution

    Downloads & Resources

    Dates

    Metadata Created Date January 11, 2025
    Metadata Updated Date March 21, 2026

    Metadata Source

    Harvested from OpenEI data.json

    Other Data Resources

    Additional Metadata

    Resource Type Dataset
    Metadata Created Date January 11, 2025
    Metadata Updated Date March 21, 2026
    Publisher National Renewable Energy Laboratory
    Maintainer
    Identifier https://data.openei.org/submissions/8208
    Data First Published 2020-08-01T14:43:34Z
    Data Last Modified 2026-03-12T18:10:31Z
    Public Access Level public
    Bureau Code 019:20
    Metadata Context https://openei.org/data.json
    Metadata Catalog ID https://openei.org/data.json
    Schema Version https://project-open-data.cio.gov/v1.1/schema
    Catalog Describedby https://project-open-data.cio.gov/v1.1/schema/catalog.json
    Data Quality True
    Harvest Object Id 5defbb31-b3e8-4ce9-acd6-f7c3324960ac
    Harvest Source Id 7cbf9085-0290-4e9f-bec1-91653baeddfd
    Harvest Source Title OpenEI data.json
    Homepage URL https://data.nlr.gov/submissions/146
    License https://creativecommons.org/licenses/by/4.0/
    Program Code 019:023, 019:000
    Projectnumber
    Projecttitle
    Source Datajson Identifier True
    Source Hash 0c56f8e0184d63d8a0dc88ce1d52bd63313c3c47d20c073cc73e820696a9d738
    Source Schema Version 1.1

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