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Electricity intra-day spot prices prediction via artificial neural networks

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F13%3A00212812" target="_blank" >RIV/68407700:21230/13:00212812 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Electricity intra-day spot prices prediction via artificial neural networks

  • Original language description

    The ability to predict future electricity prices on the spot market provides possibility for electrical devices to optimize their power consumption based on operating costs. This approach is an alternative to receiving control singals from the smart grid. It could be used when connected to an old-fashioned electrical grid without any infrastructure change.

  • Czech name

  • Czech description

Classification

  • Type

    O - Miscellaneous

  • CEP classification

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

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2013

  • Confidentiality

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