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Author = Zolfaghari, Mahdi

Number of Articles: 1
COMPARATIVE STUDY OF ARIMA AND ARTIFICIAL NEURAL NETWORK METHODS FOR IRAN ELECTRICITY FORECASTING

Ali Mohamad Ahmadi; Mahdi Zolfaghari; Aidin Ghafar Nejad Mehrabani

Volume 13, Issue 41 , February 2010, , Pages 107-121

Abstract
  Electricity demand is growing very fast in Iran and it is important to forecast its future demand and its monthly variation accurately. Artificial Neural Network (ANN) is a powerful tool for nonlinear models for forecasting and it was used to estimate monthly electricity demand in this study. In this ...  Read More