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ARIMA forecasting of primary energy demand by fuel in Turkey

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  • Ediger, Volkan S.
  • Akar, Sertac

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  • Ediger, Volkan S. & Akar, Sertac, 2007. "ARIMA forecasting of primary energy demand by fuel in Turkey," Energy Policy, Elsevier, vol. 35(3), pages 1701-1708, March.
    • Handle: RePEc:eee:enepol:v:35:y:2007:i:3:p:1701-1708
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    References listed on IDEAS

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    1. Gonzales Chavez, S & Xiberta Bernat, J & Llaneza Coalla, H, 1999. "Forecasting of energy production and consumption in Asturias (northern Spain)," Energy, Elsevier, vol. 24(3), pages 183-198.
    2. Sari, Ramazan & Soytas, Ugur, 2004. "Disaggregate energy consumption, employment and income in Turkey," Energy Economics, Elsevier, vol. 26(3), pages 335-344, May.
    3. Sarak, H & Satman, A, 2003. "The degree-day method to estimate the residential heating natural gas consumption in Turkey: a case study," Energy, Elsevier, vol. 28(9), pages 929-939.
    4. Soytas, Ugur & Sari, Ramazan, 2003. "Energy consumption and GDP: causality relationship in G-7 countries and emerging markets," Energy Economics, Elsevier, vol. 25(1), pages 33-37, January.
    5. Sözen, Adnan & Arcaklioglu, Erol & Özkaymak, Mehmet, 2005. "Turkey's net energy consumption," Applied Energy, Elsevier, vol. 81(2), pages 209-221, June.
    6. Saab, Samer & Badr, Elie & Nasr, George, 2001. "Univariate modeling and forecasting of energy consumption: the case of electricity in Lebanon," Energy, Elsevier, vol. 26(1), pages 1-14.
    7. Ozturk, Harun Kemal & Ceylan, Halim & Hepbasli, Arif & Utlu, Zafer, 2004. "Estimating petroleum exergy production and consumption using vehicle ownership and GDP based on genetic algorithm approach," Renewable and Sustainable Energy Reviews, Elsevier, vol. 8(3), pages 289-302, June.
    8. Haldenbilen, Soner & Ceylan, Halim, 2005. "Genetic algorithm approach to estimate transport energy demand in Turkey," Energy Policy, Elsevier, vol. 33(1), pages 89-98, January.
    9. Abdel-Aal, R.E. & Al-Garni, A.Z., 1997. "Forecasting monthly electric energy consumption in eastern Saudi Arabia using univariate time-series analysis," Energy, Elsevier, vol. 22(11), pages 1059-1069.
    10. Qi, Min & Zhang, Guoqiang Peter, 2001. "An investigation of model selection criteria for neural network time series forecasting," European Journal of Operational Research, Elsevier, vol. 132(3), pages 666-680, August.
    11. Altinay, Galip & Karagol, Erdal, 2004. "Structural break, unit root, and the causality between energy consumption and GDP in Turkey," Energy Economics, Elsevier, vol. 26(6), pages 985-994, November.
    12. Durmayaz, Ahmet & Kadıoǧlu, Mikdat & Şen, Zekai, 2000. "An application of the degree-hours method to estimate the residential heating energy requirement and fuel consumption in Istanbul," Energy, Elsevier, vol. 25(12), pages 1245-1256.
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