Citations in impact factor journals
A simulated-based neural network algorithm for forecasting electrical energy consumption in Iran Energy Policy Vol. 36, Issue 7, 2637, 2008 |
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Sun, X., Y. Wu, X. Liang, Y. Yang and L. Meng, 2013. Efficient scheduling of electricity consumption for smart grid with uncertainty in renewable supply. Inform. Technol. J., 12: 1895-1904. CrossRefDirect Link |
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Towards agricultural demand for the main energy carriers in Iran: application of linear approximate almost ideal demand system (LA-AIDS) analysis Journal of the Saudi Society of Agricultural Sciences |
How to cite this article
S. Farid Ghader, M. Ali Azadeh and Sh Mahmmod Zahed, 2006. Modeling and Forecasting the Electricity Demand for Major Economic Sectors of Iran. Information Technology Journal, 5: 260-266.
DOI: 10.3923/itj.2006.260.266
URL: https://scialert.net/abstract/?doi=itj.2006.260.266
DOI: 10.3923/itj.2006.260.266
URL: https://scialert.net/abstract/?doi=itj.2006.260.266