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  • 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
  • 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 (en)
  • 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 (cs)
Title
  • Fuzzy Inference System and Prediction
  • Fuzzy Inference System and Prediction (en)
  • Fuzzy Inference System and Prediction (cs)
skos:prefLabel
  • Fuzzy Inference System and Prediction
  • Fuzzy Inference System and Prediction (en)
  • Fuzzy Inference System and Prediction (cs)
skos:notation
  • RIV/00216305:26210/04:PU46069!RIV11-MSM-26210___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • V, Z(MSM 261100009)
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
  • 565082
http://linked.open...ai/riv/idVysledku
  • RIV/00216305:26210/04:PU46069
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • fuzzy sets, fuzzy logic, fuzzy inference system, prediction (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [7AAA880608A5]
http://linked.open...v/mistoKonaniAkce
  • Kunovice
http://linked.open...i/riv/mistoVydani
  • Kunovice, ČR
http://linked.open...i/riv/nazevZdroje
  • International Conference on Soft Computing applied in Computer and Economic Environments
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Žák, Libor
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
  • 80-7314-025-X
http://localhost/t...ganizacniJednotka
  • 26210
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