Detail publikace

Fuzzy Logic Based Short_Term Electric Load Forecasting

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

KHAN, M., ŽÁK, L., ONDRŮŠEK, Č.

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"
}