Přístupnostní navigace
E-application
Search Search Close
Publication detail
ŽÁK, L.
Original Title
Fuzzy Inference System and Prediction
English Title
Type
conference paper
Language
Czech
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
English abstract
Key words in English
fuzzy sets, fuzzy logic, fuzzy inference system, prediction
Authors
RIV year
2004
Released
30. 1. 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
31
Pages to
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", pages="31--37", publisher="n", address="Kunovice, ČR", isbn="80-7314-025-X" }