Volume 28 (2023)
Volume 27 (2022)
Volume 26 (2021)
Volume 25 (2020)
Volume 24 (2019)
Volume 23 (2018)
Volume 22 (2017)
Volume 21 (2016)
Volume 20 (2015)
Volume 19 (2014)
Volume 18 (2013)
Volume 17 (2012)
Volume 16 (2011)
Volume 15 (2010)
Volume 14 (2010)
Volume 13 (2009)
Volume 12 (2008)
Volume 11 (2008)
Volume 10 (2008)
Volume 9 (2007)
Volume 8 (2006)
Volume 7 (2005)
Volume 6 (2004)
Volume 5 (2003)
Volume 4 (2002)
Volume 3 (2001)
Volume 2 (2000)
Volume 1 (1995)
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

Oil Price Forecasting; A Comparison between ARIMA and ANN Models

Iman Farjamnia; Mohsen Naseri; Sayed Mohamad Mehdi Ahmadi

Volume 9, Issue 32 , October 2007, , Pages 161-183

Abstract
  Ability of Artificial Neural Networks (ANNs) as a powerful tool in simulation and prediction in science and engineering has made it attractive to economists. In this article, after a brief review of literature, a comparison of forecasting performance of ANN versus ARIMA is made. The data used are daily ...  Read More

Forecasting Crude Oil Futures Prices

Saeed Moshiri; Faezeh Foroutan

Volume 6, Issue 21 , February 2005, , Pages 67-90

Abstract
  The movements in oil prices are complex and, therefore, seem to be unpredictable. The traditional linear structural models have not been promising when applied to forecasting, particularly in the case of complex series such as oil prices. Although linear and nonlinear time series models have done much ...  Read More