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Photovoltaic power plant output estimation by neural networks and fuzzy inference

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F12%3A86084958" target="_blank" >RIV/61989100:27240/12:86084958 - isvavai.cz</a>

  • Alternative codes found

    RIV/61989100:27740/12:86084958 RIV/61989100:27730/12:86084958

  • Result on the web

    <a href="http://dx.doi.org/10.1007/978-3-642-32639-4_96" target="_blank" >http://dx.doi.org/10.1007/978-3-642-32639-4_96</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/978-3-642-32639-4_96" target="_blank" >10.1007/978-3-642-32639-4_96</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Photovoltaic power plant output estimation by neural networks and fuzzy inference

  • Original language description

    The stochastic production of renewable energy sources puts increased demands on power grids worldwide. Neurocomputing methods can be used for the forecast of electric energy production of renewable resources and contribute to the reliability of energy systems. This study compares two neurocomputing methods as predictors of a selected photovoltaic power plant in the Czech Republic that meets the real world criterion of high output variance and relatively large installed power.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    IN - Informatics

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/ED1.1.00%2F02.0070" target="_blank" >ED1.1.00/02.0070: IT4Innovations Centre of Excellence</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

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

    Lecture notes in computer science. Volume 7435

  • ISBN

    978-3-642-32638-7

  • ISSN

    0302-9743

  • e-ISSN

  • Number of pages

    7

  • Pages from-to

    810-817

  • Publisher name

    Springer

  • Place of publication

    Berlin

  • Event location

    Natal

  • Event date

    Aug 29, 2012

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article