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Description
  • 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 Electtric 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.
  • 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 Electtric 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. (en)
Title
  • Fuzzy Logic Based Short_Term Electric Load Forecasting
  • Fuzzy Logic Based Short_Term Electric Load Forecasting (en)
skos:prefLabel
  • Fuzzy Logic Based Short_Term Electric Load Forecasting
  • Fuzzy Logic Based Short_Term Electric Load Forecasting (en)
skos:notation
  • RIV/00216305:26210/01:PU24464!RIV/2002/MSM/262102/N
http://linked.open.../vavai/riv/strany
  • 19-24
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • Z(MSM 262200010)
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 680890
http://linked.open...ai/riv/idVysledku
  • RIV/00216305:26210/01:PU24464
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • Short-term average and seasonal load forecasting, artificial neural networks (ANN). (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [0F2FBCE36FE0]
http://linked.open...v/mistoKonaniAkce
  • Žilina
http://linked.open...i/riv/mistoVydani
  • Žilina, SR
http://linked.open...i/riv/nazevZdroje
  • ELEKTRO 2001, 4th International Scientific Conference
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...ocetUcastnikuAkce
http://linked.open...nichUcastnikuAkce
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Žák, Libor
  • Ondrůšek, Čestmír
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
http://linked.open...n/vavai/riv/zamer
number of pages
http://purl.org/ne...btex#hasPublisher
  • n
https://schema.org/isbn
  • 80-7100-836-2
http://localhost/t...ganizacniJednotka
  • 26210
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