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KHAN, M., ŽÁK, L., ONDRŮŠEK, Č.
Original Title
Fuzzy Logic Based Short_Term Electric Load Forecasting
Type
conference paper
Language
English
Original Abstract
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.
Key words in English
Short-term average and seasonal load forecasting, artificial neural networks (ANN).
Authors
RIV year
2001
Released
22. 5. 2001
Publisher
n
Location
Žilina, SR
ISBN
80-7100-836-2
Book
ELEKTRO 2001, 4th International Scientific Conference
Pages from
19
Pages to
24
Pages count
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" }