Publication detail

Fuzzy Inference System and Prediction

ŽÁK, L.

Czech title

Fuzzy Inference System and Prediction

English title

Fuzzy Inference System and Prediction

Type

conference paper

Language

cs

Original abstract

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

Czech abstract

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

English abstract

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

Keywords in English

fuzzy sets, fuzzy logic, fuzzy inference system, prediction

RIV year

2004

Released

30.01.2004

Publisher

n

Location

Kunovice, ČR

ISBN

80-7314-025-X

Book

International Conference on Soft Computing applied in Computer and Economic Environments

Pages from–to

31–37

Pages count

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",
  month="January",
  pages="31--37",
  publisher="n",
  address="Kunovice, ČR",
  isbn="80-7314-025-X"
}