Detail publikace

Fuzzy Inference System and Prediction

ŽÁK, L.

Český název

Fuzzy Inference System and Prediction

Anglický název

Fuzzy Inference System and Prediction

Typ

Stať ve sborníku v databázi WoS či Scopus

Jazyk

cs

Originální abstrakt

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 effectively handles 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 results better in accuracy than artificial neural networks (ANNs) method

Anglický abstrakt

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 effectively handles 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 results better in accuracy than artificial neural networks (ANNs) method

Klíčová slova anglicky

fuzzy sets, fuzzy logic, fuzzy inference system, prediction

Vydáno

2004-01-30

Nakladatel

n

Místo

Kunovice, ČR

ISBN

80-7314-025-X

Kniha

International Conference on Soft Computing applied in Computer and Economic Environments

Strany od–do

31–37

Počet stran

6

BIBTEX


@inproceedings{BUT12995,
  author="Libor {Žák}",
  title="Fuzzy Inference System and Prediction",
  booktitle="International Conference on Soft Computing applied in Computer and Economic Environments",
  year="2004",
  pages="31--37",
  publisher="n",
  address="Kunovice, ČR",
  isbn="80-7314-025-X"
}