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Original Articles

Univariate Modelling of Energy Consumption in Turkish Agriculture

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Pages 284-290 | Received 31 Mar 2010, Accepted 07 May 2010, Published online: 16 Oct 2013

REFERENCES

  • Abdel-all , R. E. and Al-Garni , A. Z. 1997 . Forecasting monthly electric energy consumption in eastern Saudi Arabia using univariate time series analysis . Energy , 22 : 1059 – 1069 .
  • Adelaja , A. and Hoque , A. 1986 . A multi-product analysis of energy demand in agricultural resources . Southern Journal of Agricultural Economics , 2 : 51 – 63 .
  • Amarawickrama , H. A. and Hunt , L. C. 2008 . Electricity demand for Sri Linka: A time series analysis . Energy , 33 : 724 – 739 .
  • Beenstock , M. , Goldin , E. and Nabot , D. 1999 . The demand for electricity in Israel . Energ. Econ. , 21 : 168 – 183 .
  • Box , G. P. E. and Jenkins , G. M. 1970 . Time Series Analysis: Forecasting and Control. San Francisco : Holden Day. .
  • Canyurt , O. E. , Ceylan , H. , Öztürk , H. K. and Hepbaşlı , A. 2004 . Energy demand estimation based on two different genetic algorithm approaches . Energ. Source. , 26 : 1313 – 1320 .
  • Capps , O. and Havlicek , J. 1978 . The demand for gasoline and diesel fuel in agricultural use in Virginia . Southern Journal of Agricultural Economics , 10 : 59 – 64 .
  • Ceylan , H. and Öztürk , H. K. 2004 . Estimating energy demand of Turkey based on economic indicators using genetic algorithm approach . Energ. Convers. Manage. , 45 : 2525 – 2537 .
  • Ceylan , H. , Öztürk , H. K. , Hepbaşlı , A. and Utlu , Z. 2005 . Estimating energy and exergy production and consumption values using three different genetic algorithm approaches: Application and scenarios . Energ. Source. Part B , 27 : 629 – 639 .
  • Food and Agricultural Organization of the United Nations (FAO) . 2000 . The energy and agricultural nexus. Environment and natural resources. Rome Working Paper No. 4
  • Francis , B. M. , Moseley , L. and Iyare , S. O. 2007 . Energy consumption and projected growth in selected Caribbean countries . Energ. Econ. , 29 : 1224 – 1232 .
  • Gujarati , D. N. 1998 . Basic Econometrics, , 3rd Edition Istanbul , , Turkey : Literatür Press. .
  • Hepbaşlı , A. , Oturanc , G. , Kurnaz , A. and Ergin , E. 2002 . Simple correlations for estimating the energy production of Turkey . Energ. Source. , 24 : 855 – 867 .
  • Ho , S. L. and Xie , M. 1998 . The use of ARIMA models for reliability forecasting and analysis . Computers Industrial Engineering , 35 : 213 – 216 .
  • Ho , S. L. , Xie , M. and Goh , T. N. 2002 . A comparative study of neural network and Box-Jenkins ARIMA modeling in time series predictions . Computers and Industrial Engineering , 42 : 371 – 375 .
  • International Energy Agency (IEA) . 2005 . Energy policies of IEA countries, Turkey 2005 review. Paris
  • Kulshreshtha , M. and Parikh , J. K. 2000 . Modeling demand for coal in India: Vector autoregressive models with cointegrated variables . Energy , 25 : 149 – 168 .
  • Lise , W. and Van Montfort , K. 2007 . Energy consumption and GDP in Turkey: Is there a co-integration relationship? . Energ. Econ. , 29 : 1166 – 1178 .
  • Ministry of Energy and Natural Resources (MENR) . 2008 . Statistical Database Available at: http://www.enerji.gov.tr/EKLENTI_VIEW/index.php/raporlar/detaySec/4043
  • Mohammed , Z. and Bodger , P. 2005 . Forecasting electricity consumption in New Zealand using economic and demographic variables . Energy , 30 : 1833 – 1843 .
  • Öztürk , H. K. , Ceylan , H. , Canyurt , O. E. and Hepbaşlı , A. 2005 . Electricity estimation using genetic algorithm approach: A case study of Turkey . Energy , 30 : 1003 – 1012 .
  • Pao , H. T. 2006 . Comparing linear and nonlinear forecasts for Taiwan's electricity consumption . Energy , 31 : 2129 – 2141 .
  • Sözen , A. , Akçayol , M. A. and Arcaklıoğlu , E. 2006 . Forecasting net energy consumption using artificial neural network . Energ. Source. Part B , 1 : 147 – 155 .
  • Zhang , G. P. 2001 . Time series forecasting using a hybrid ARIMA and neural network model . Neurocomputing , 50 : 159 – 175 .

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