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Fuzzy Inference System and Prediction

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26210%2F04%3APU46069" target="_blank" >RIV/00216305:26210/04:PU46069 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    čeština

  • Original language name

    Fuzzy Inference System and Prediction

  • Original language description

    This paper describes the implementation of fuzzy set theory and Fuzzy Inference System (FIS) for prediction of electric load. The proposed technique utilizes fuzzy rules to incorporate historical weather and load data. The use of fuzzy logic effectivelyhandles the load variations due to special events. The fuzzy logic has been extensively tested on actual data obtained from the Czech Electric Power Company (ČEZ) for 24-hour ahead prediction. Test results indicate that the fuzzy rule base can produce reesults better in accuracy than artificial neural networks (ANNs) method

  • Czech name

    Fuzzy Inference System and Prediction

  • Czech description

    This paper describes the implementation of fuzzy set theory and Fuzzy Inference System (FIS) for prediction of electric load. The proposed technique utilizes fuzzy rules to incorporate historical weather and load data. The use of fuzzy logic effectivelyhandles the load variations due to special events. The fuzzy logic has been extensively tested on actual data obtained from the Czech Electric Power Company (ČEZ) for 24-hour ahead prediction. Test results indicate that the fuzzy rule base can produce reesults better in accuracy than artificial neural networks (ANNs) method

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

    2004

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    International Conference on Soft Computing applied in Computer and Economic Environments

  • ISBN

    80-7314-025-X

  • ISSN

  • e-ISSN

  • Number of pages

    6

  • Pages from-to

    31-36

  • Publisher name

    n

  • Place of publication

    Kunovice, ČR

  • Event location

    Kunovice

  • Event date

    Jan 29, 2004

  • Type of event by nationality

    EUR - Evropská akce

  • UT code for WoS article