1- Aggarwal, Sanjeev Kumar, Lalit Mohan Saini, Ashwani Kumar, (2009). Electricity Price Forecasting in Deregulated Markets: A Review and Evaluation. Electrical Power and Energy Systems 31, pp 13-22.
2- Asgary, Ali, (2000), “Energy Demand”, Doctoral dissertation of Tehran University.
3- Azarbayejani, Karim and Sharifi Alimorad, and Sateei Mahsa, (2006). estimation of electrical energy in the country's industrial sector”, Journal of Economic Research, number 73, p 133-166.
4- Bill, Rasel and Jakson Tam, (2007), Introduction to Neural Networks, Alborzy, Mahmood, Tehran, Sharif University of Technology Institute of Scientific Publications.
5- Bishop, Christopher, (1995), “Neural Networks for Pattern Recognition”, Oxford.
6- Conejo, Antonio J, Javier Contreras, Rosa Espı´nola, Miguel A, (2005). Forecasting Electricity Prices for a Day-ahead Pool-based Electric Energy Market”, International Journal of Forecasting 21, pp 435-462.
7- Faost, Loran, (2009), “Fundamentals of Neural Networks”, Veisi, Hady and Mafakhery, Kobra and Baghery Shooraki, Saeed, Institute for Publishing and printing of ministry of culture and Islamic Guidance, first edition.
8- Goodarzvand Cheginy, Amir, (2009), Matlab toolbox, Naghoos press, Third Edition.
9- Pino Raul, Fuente David Dela, Priore Paolo, Parreno Jose, (2007), “Short Term Forecasting of the Electricity Market of Spain using Neural Networks”, Journal of Economic Literature.
10- Pino Raul, Jose´ Parreno, Alberto Gomez, Paolo Priore, (2008). Forecasting Next-day Price of Electricity in the Spanish Energy Market Using Artificial Neural Networks. Engineering Applications of Artificial Intelligence 21, pp 53-62.
11- Ramezani, Maryam and Reza Ramezani, “Electricity Demand Forecast
in Iran using Neural Network and ARIMA Model”, Tarbiat Modares
University of Tehran
12- Rajabzadeh, Ali, “Evaluation of combined methods for forecasting
economic models”, Ph.D. dissertation, Tarbiat Modares University of Tehran
13- Ridley D, (2003), The Univariate Moving Window Spectral Method,
Computers & Industrial Engineering, vol 45, pp 691–711
14- Sadeghi, Hossein & Mehdi Zolfaghari (2010). Short-term forecasts of electricity demand using Neural Networks and wavelet transform. Quarterly Journal of economic, Shahid Chamran University of Ahvaz, 2, 27-56.
15-Samadi, Saeed and Amene Shahidi and Farzane Mohammadi, (2008). Electricity Demand Analysis in Iran by Using Cointegration and ARIMA Modeling. Knowledge & development journal, 25.
16-Shalkof, Robert, G. (2003). Artificial Neural Networks, Joorabian, Mahmood, Ahvaz, Shahid Chamran University Press.
17-Sohrabkhani, Sara, (2006), Modeling the monthly electricity consumption using Neural Networks and simulation, MSc thesis, industry Engineering, Tehran University.
18-Tashkiny, Ahmad, (2005). applied econometrics with Microfit. Tehran, Dibagaran Arts, and Cultural Institute.
19-Vashaghani, Mohsen, (2009). Introduction around Neural Networks. Shahid Beheshti University.
20-Zhang G Peter, (2003). Time Series Forecasting Using a Hybrid ARIMA and Neural Network Model”, Neurocomputing 50, 50,159-175.
21- Ministry of Energy reports, http://amar.tavanir.org.ir.
22- Iran Grade Management Company, http://igmc.i.
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