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Energy Time Series - Fuzzy Logic Prediction

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26210%2F03%3APU41882" target="_blank" >RIV/00216305:26210/03:PU41882 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Energy Time Series - Fuzzy Logic Prediction

  • Original language description

    The article describes the design of the calculation method of heat supply diagram prediction by means of fuzzy logic. Other methods such as Box-Jenkins methodology and the use of artificial neural networks are mentioned here for the purpose of comparingtheir prediction abilities in energy time series. The use of fuzzy logic seems very successful in the prediction of energy time series..

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    BA - General mathematics

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    Z - Vyzkumny zamer (s odkazem do CEZ)

Others

  • Publication year

    2003

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Mendel 2003, 9th International Conference on Soft Computing

  • ISBN

    80-214-2411-7

  • ISSN

  • e-ISSN

  • Number of pages

    5

  • Pages from-to

    206-210

  • Publisher name

    FSI VUT Brno

  • Place of publication

    Brno

  • Event location

    Brno

  • Event date

    Jun 4, 2003

  • Type of event by nationality

    EUR - Evropská akce

  • UT code for WoS article