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Artificially evolved soft computing models for photovoltaic power plant output estimation

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F12%3A86085009" target="_blank" >RIV/61989100:27240/12:86085009 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.1109/ICSMC.2012.6377861" target="_blank" >http://dx.doi.org/10.1109/ICSMC.2012.6377861</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1109/ICSMC.2012.6377861" target="_blank" >10.1109/ICSMC.2012.6377861</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Artificially evolved soft computing models for photovoltaic power plant output estimation

  • Original language description

    Renewable energy sources are becoming a significant part of todays energy mix. The unstable production of many renewable energy sources including photovoltaic and wind power plants puts increased demands on power transmission systems and on the power grid as a whole. Soft computing methods can contribute to the prediction of electric energy production of renewable resources and therefore to the reliability of the power transmission networks. This work compares two soft computing methods that utilize genetic programming to evolve predictors of a selected renewable energy resource that meets the real world criterion of high output variance and relatively large installed power (in context of the power distribution system of the Czech Republic). 2012 IEEE.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    IN - Informatics

  • OECD FORD branch

Result continuities

  • Project

    Result was created during the realization of more than one project. More information in the Projects tab.

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2012

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics 2012

  • ISBN

    978-1-4673-1714-6

  • ISSN

    1062-922X

  • e-ISSN

  • Number of pages

    6

  • Pages from-to

    1011-1016

  • Publisher name

    IEEE

  • Place of publication

    New York

  • Event location

    Soul

  • Event date

    Oct 14, 2012

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article