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Detail publikace
KHAN, M., ŽÁK, L., ONDRŮŠEK, Č.
Originální název
Fuzzy Logic Based Short_Term Electric Load Forecasting
Typ
článek ve sborníku ve WoS nebo Scopus
Jazyk
angličtina
Originální abstrakt
This paper describes the implementation of fuzzy logic model and fuzzy set theory for short-term load forecasting. The proposed technique utilizes fuzzy rules to incorporate historical weather and load data. The strengths of this powerful technique lie in its ability to forecast accurately on weekdays, weekends and public holidays. 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 v angličtině
Short-term average and seasonal load forecasting, artificial neural networks (ANN).
Autoři
Rok RIV
2001
Vydáno
22. 5. 2001
Nakladatel
n
Místo
Žilina, SR
ISBN
80-7100-836-2
Kniha
ELEKTRO 2001, 4th International Scientific Conference
Strany od
19
Strany do
24
Strany počet
6
BibTex
@inproceedings{BUT3900, author="Muhammad R {Khan} and Libor {Žák} and Čestmír {Ondrůšek}", title="Fuzzy Logic Based Short_Term Electric Load Forecasting", booktitle="ELEKTRO 2001, 4th International Scientific Conference", year="2001", pages="6", publisher="n", address="Žilina, SR", isbn="80-7100-836-2" }