Neural networks as a tool for unit commitment

Peter Rønne-Hansen, Jan Rønne-Hansen

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    Abstract

    Some of the fundamental problems when solving the power system unit commitment problem by means of neural networks have been attacked. It has been demonstrated for a small example that neural networks might be a viable alternative. Some of the major problems solved in this initiating phase form a basis for the analysis of real life sized problems. These will be investigated in the near future
    Original languageEnglish
    Title of host publicationProceedings of the First International Forum on Applications of Neural Networks to Power Systems
    PublisherIEEE
    Publication date1991
    Pages266-270
    ISBN (Print)0-7803-0065-3
    DOIs
    Publication statusPublished - 1991
    EventInternational Forum on Applications of Neural Networks to Power Systems - Seattle, WA
    Duration: 1 Jan 1991 → …
    Conference number: 1st

    Conference

    ConferenceInternational Forum on Applications of Neural Networks to Power Systems
    Number1st
    CitySeattle, WA
    Period01/01/1991 → …

    Bibliographical note

    Copyright: 1991 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE

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