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Energy Sources, Part B: Economics, Planning, and Policy Volume 6, 2011 - Issue 4
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Original Articles

Energy Consumption Forecasting of Iran Using Recurrent Neural Networks

A. Avami Department of Mechanical Engineering, Sharif University of Technology, Tehran, Iran
&
M. Boroushaki Department of Mechanical Engineering, Sharif University of Technology, Tehran, Iran
Pages 339-347 | Received 29 Oct 2008, Accepted 16 Dec 2008, Published online: 28 Jul 2011

References

  • Azadeh , A. , Ghaderi , S. F. , Tarverdian , S. and Saberi , M. 2007 . Integration of artificial neural networks and genetic algorithm to predict electrical energy consumption . Appl. Math. Comput. , 186 : 1731 – 1741 .
  • Azadeh , A. , Ghaderi , S. F. and Sohrabkhani , S. 2008 . Annual electricity consumption forecasting by neural network in high energy consuming industrial sectors . Energ. Convers. Manage. , 49 : 2272 – 2278 .
  • Boroushaki , M. , Ghofrani , M. B. and Lucas , C. 2002 . Identification of a nuclear reactor core (VVER) using recurrent neural networks . Ann. Nucl. Energy , 29 : 1225 – 1240 .
  • Boroushaki , M. , Ghofrani , M. B. , Lucas , C. and Yazdanpanah , M. J. 2003 . Identification and control of a nuclear reactor core (VVER) using recurrent neural networks and fuzzy systems . IEEE T. Nucl. Sci. , 50 : 159 – 174 .
  • International Institute for Energy Studies (IIES) . 2006 . Hydrocarbon's energy balance for Iran, 2006. Tehran, , Iran : IIES. .
  • Jebaraj , S. and Iniyan , S. 2006 . A review of energy models . Renew. Sust. Energ. Rev. , 10 : 281 – 311 .
  • Kermanshahi , B. 1998 . Recurrent neural network for forecasting next 10 years loads of nine Japanese utilities . Neurocomputing , 23 : 125 – 133 .
  • Kermanshahi , B. and Iwamiya , H. 2002 . Up to 2020 load forecasting using neural nets . Electrical Power and Energy Systems , 24 : 789 – 797 .
  • Lin , T. , Home , B. G. , Giles , C. L. and Kung , S. Y. 1998 . What to remember: How memory order affects the performance of NARX neural networks . IEEE World Congress on Computational Intelligence, Neural Networks Proceedings , 2 : 1051 – 1056 .
  • Medsker , L. R. and Jain , L. C. 1999 . Recurrent Neural Networks Design and Applications. Boca Raton, FL : CRC Press. .
  • Nasr , G. E. , Badr , E. A. and Joun , C. 2003 . Back propagation neural networks for modeling gasoline consumption . Energ. Convers. Manage. , 44 : 893 – 905 .
  • Sola , J. and Sevilla , J. 1997 . Importance of input data normalization for the application of neural networks to complex industrial problems . IEEE T. Nucl. Sci. , 44 : 1464 – 1468 .
  • Sözen , A. , Arcaklioglu , E. and Ozkaymak , M. 2005 . Turkey's net energy consumption . Appl. Energ. , 81 : 209 – 221 .

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