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Optimizing the Mathematical Model for Prediction of Energy Production in Wind Power Plants

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F11%3A86077581" target="_blank" >RIV/61989100:27240/11:86077581 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Optimizing the Mathematical Model for Prediction of Energy Production in Wind Power Plants

  • Original language description

    Wind Power Plants are classified as a power energy sources with non-stabile supply of electric energy. It is necessary to back up power energy from Wind Power Plants for stabile electric network operation. We can set an optimal value of back up power energy with using variety of prediction models. Mathematical model for prediction of Wind Power Plant energy was developed at the Technical University of Ostrava within research project MSM 6198910007. There are introduced partial results of predictive model verification.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

  • CEP classification

    JE - Non-nuclear power engineering, energy consumption and utilization

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    Z - Vyzkumny zamer (s odkazem do CEZ)

Others

  • Publication year

    2011

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Przeglad elektrotechniczny

  • ISSN

    0033-2097

  • e-ISSN

  • Volume of the periodical

    87

  • Issue of the periodical within the volume

    2

  • Country of publishing house

    PL - POLAND

  • Number of pages

    5

  • Pages from-to

    74-78

  • UT code for WoS article

    000286945500018

  • EID of the result in the Scopus database