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Research on enhancing power generation forecasts with real-time machine learning models

Conference paper

Fast facts

  • Internal authorship

    Anzhelika Parkhomenko, M.Sc.

  • Further publishers

    Yulii Horichenko, Oleg Pozdnyakov, Artem Tulenkov, Olga Gladkova, Andriy Parkhomenko

  • Publishment

    • 2024

  • Purpose of publication

    Research

  • Organizational unit

    IDiAL

  • Subjects

    • Applied computer science

  • Research fields

    • Knowledge transfer and knowledge representation

Quote

Y. Horichenko, A. Parkhomenko, O. Pozdnyakov, A. Tulenkov, O. Gladkova, and A. Parkhomenko, "Research on enhancing power generation forecasts with real-time machine learning models," in Proceedings of the Seventh International Workshop on Computer Modeling and Intelligent Systems, 2024, pp. 424-437 [Online]. Available: http://ceur-ws.org/Vol-3702/paper35.pdf

References

URL http://ceur-ws.org/Vol-3702/paper35.pdf(Opens in a new tab)

Notes and references

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