MODIFIED ELMAN RECURRENT NEURAL NETWORK FOR SHORT-TERM ELECTRIC LOAD FORECASTING

Authors

  • И. П. Плисс
  • С. В. Попов
  • Т. В. Рыбальченко
  • Е. В. Слипченко

Abstract

Modified architecture of Elman recurrent neural network is proposed that is capable to process data presented in different measurement scaled. Learning algorithms are developed, based on first and second order procedures with network paralysis-proof modifications.

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How to Cite

Плисс, И. П., Попов, С. В., Рыбальченко, Т. В., & Слипченко, Е. В. (2013). MODIFIED ELMAN RECURRENT NEURAL NETWORK FOR SHORT-TERM ELECTRIC LOAD FORECASTING. Lighting Engineering & Power Engineering, (2), 79–87. Retrieved from https://lepe.kname.edu.ua/index.php/lepe/article/view/150

Issue

No. 2 (2009): №18

Section

Articles

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