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    • GOOML Big Kahuna Forecast Modeling and Genetic Optimization Files

    Metadata Updated: January 20, 2025

    This submission includes example files associated with the Geothermal Operational Optimization using Machine Learning (GOOML) Big Kahuna fictional power plant, which uses synthetic data to model a fictional power plant. A forecast was produced using the GOOML data model framework and fictional input data, and a genetic optimization is included which determines optimal flash plant parameters. The inputs and outputs associated with the forecast and genetic optimization are included. The input and output files consist of data, configuration files, and plots.

    A link to the Physics-Guided Neural Networks (phygnn) GitHub repository is also included, which augments a traditional neural network loss function with a generic loss term that can be used to guide the neural network to learn physical or theoretical constraints. phygnn is used by the GOOML framework to help integrate its machine learning models into the relevant physics and engineering applications.

    Note that the data included in this submission are intended to provide a demonstration of GOOML's capabilities. Additional files that have not been released to the public are needed for users to run these models and reproduce these results.

    Units can be found in the readme data resource.

    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 January 20, 2025

    Metadata Source

    Harvested from OpenEI data.json

    Other Data Resources

    Additional Metadata

    Resource Type Dataset
    Metadata Created Date January 11, 2025
    Metadata Updated Date January 20, 2025
    Publisher Upflow
    Maintainer
    Doi 10.15121/1812319
    Identifier https://data.openei.org/submissions/7432
    Data First Published 2021-06-30T06:00:00Z
    Data Last Modified 2021-11-24T22:37:44Z
    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
    Datagov Dedupe Retained 20250120155001
    Harvest Object Id b0fd3e97-cccc-4a21-b267-43628afaada3
    Harvest Source Id 7cbf9085-0290-4e9f-bec1-91653baeddfd
    Harvest Source Title OpenEI data.json
    Homepage URL https://gdr.openei.org/submissions/1314
    License https://creativecommons.org/licenses/by/4.0/
    Old Spatial {"type":"Polygon","coordinates":-180,-83,180,-83,180,83,-180,83,-180,-83}
    Program Code 019:006
    Projectlead Angel Nieto
    Projectnumber EE0008766
    Projecttitle Geothermal Operational Optimization with Machine Learning (GOOML)
    Source Datajson Identifier True
    Source Hash 69c43d7cf35bbdc400209afb89d5fba31301bf36f5bb3eeee5f06fd852577bbb
    Source Schema Version 1.1
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