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Description
  • A hybrid approach utilizing a fuzzy system and artificial neural network for short-term average and seasonal load prediction is proposed for the Czech Electric Power Utility (ČEZ), Czech Republic in this paper. The FNN is trained on real data and evaluated for forecasting seasonal and average load profiles based on forecast weather data. The fuzzy membership values of the load and weather variables are the inputs to the hybrid fuzzy-neural network (FNN) and the output is the predicted load. The performaance of this network has been compared with ANN technique in order to demonstrate the superiority of this approach.
  • A hybrid approach utilizing a fuzzy system and artificial neural network for short-term average and seasonal load prediction is proposed for the Czech Electric Power Utility (ČEZ), Czech Republic in this paper. The FNN is trained on real data and evaluated for forecasting seasonal and average load profiles based on forecast weather data. The fuzzy membership values of the load and weather variables are the inputs to the hybrid fuzzy-neural network (FNN) and the output is the predicted load. The performaance of this network has been compared with ANN technique in order to demonstrate the superiority of this approach. (en)
Title
  • FUZZY-NEURAL NETWORK BASED SHORT-TERM SEASONAL AND AVERAGE LOAD FORECASTING
  • FUZZY-NEURAL NETWORK BASED SHORT-TERM SEASONAL AND AVERAGE LOAD FORECASTING (en)
skos:prefLabel
  • FUZZY-NEURAL NETWORK BASED SHORT-TERM SEASONAL AND AVERAGE LOAD FORECASTING
  • FUZZY-NEURAL NETWORK BASED SHORT-TERM SEASONAL AND AVERAGE LOAD FORECASTING (en)
skos:notation
  • RIV/00216305:26210/01:PU24471!RIV/2002/MSM/262102/N
http://linked.open.../vavai/riv/strany
  • 13-13
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • Z(MSM 261100009), 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
  • 680911
http://linked.open...ai/riv/idVysledku
  • RIV/00216305:26210/01:PU24471
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • Hybrid fuzzy-neural network (FNN), Short-term average and seasonal load forecasting, artificial neural networks (ANN). (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [9A74F62B3719]
http://linked.open...v/mistoKonaniAkce
  • Zlín
http://linked.open...i/riv/mistoVydani
  • Zlín
http://linked.open...i/riv/nazevZdroje
  • 4th International Conference on Prediction and Nonlinear Dynamics, Nostradamus Prediction 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
  • 80-7318-030-8
http://localhost/t...ganizacniJednotka
  • 26210
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