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ENERGY CONSUMPTION MODELING BASED ON GDP: THE CASE OF TURKEY

Aydin, Gokhan, Kaya, Serkan, Karakurt, Izzet

First published: 2015https://doi.org/10.5593/sgem2015/b41/s19.120View metrics

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Title
ENERGY CONSUMPTION MODELING BASED ON GDP: THE CASE OF TURKEY
Authors
Aydin, Gokhan, Kaya, Serkan, Karakurt, Izzet
Proceedings
SGEM International Multidisciplinary Scientific GeoConference EXPO Proceedings; 15th International Multidisciplinary Scientific GeoConference SGEM2015, ENERGY AND CLEAN TECHNOLOGIES
Publisher
Stef92 Technology
Year
2015
Pages
933-938
ISSN
1314-2704
ISBN
978-619-7105-38-4
Language
en
Publication type
Conference Paper
References30
  1. Aydin, G., 2014a. Modeling of energy consumption based on economic and demographic factors: The case of Turkey with projections. Renewable and Sustainable Energy Reviews, 35, 382-389

  2. British Petroleum (BP). 2014. Statistical review of world energy. London: British Petroleum.

  3. Aydin, G., 2014b. The modeling of coal related CO 2 emissions and projections into future planning. Energy Sources Part A: Recovery, Utilization, and Environmental Effects, 36 (2), 191-201

  4. Chang, Y., Lee, J., and Yoon, H., 2012. Alternative projection of the world energy consumption in comparison with the 2010 International Energy Outlook. Energy Policy, 50, 154 –160.

  5. Suganthia, L., and Samuel, A.A., 2012. Energy models for demand forecasting — A review. Renewable and Sustainable Energy Reviews, 16, 1223–1240.

  6. Kankal, M., Akpınar, A., Komurcu, I.M., Ozşahin, S.T., 2011. Modeling and forecasting of Turkey’s energy consumption using socio -economic and demographic variables. Applied Energy, 88, 1927– 1939.

  7. Aydin, G., 2014c. Production modeling in the oil and natural gas industry: An application of trend analysis. Petroleum Science and Technology, 32 (5), 555-564

  8. International Monetary Fund (IMF). World economic outlook database. Washington; 2015.

  9. Friedl, B., Getzner, M., 2003. Determinants of CO 2 emissions in a small open economy. Ecological Economics, 45, 133-148.

  10. Pao, H., Tsai, C., 2011. Modeling and forecasting the CO 2 emissions, energy consumption, and economic growth in Brazil. Energy, 36, 2450–2458

  11. Aranda, A., Ferreira, G., Mainar-Toledo, D.M., Scarpellini, S., Sastresa, L.E., 2012. Multiple regression models to predict the annual energy consumption in the Spanish banking sector. Energy and Buildings, 49, 380– 387.

  12. Mohamed, Z., Bodger, P., 2005. Forecasting electricity consumption in New Zealand using economic and demographic variables. Energy, 30, 1833– 43.

  13. Aydin, G., 2015a. The modeling and projection of primary energy consumption by the sources. Energy Sources Part B: Economics, Planning, and Policy, 10 (1), 67-

  14. Aydin, G., 2015b . The Development and validation of regression models to predict energy-related CO 2 emissions in Turkey. Energy Sources Part B: Economics, Planning, and Policy, 10 (2), 176–182

  15. Lewis, C.D., 1982. International and business forecasting methods. London: Butterworths. International Multidisciplinary Scientific GeoConfenferences SGEM 2015 www.sgem.org

  16. Aydin, G., 2014a. Modeling of energy consumption based on economic and demographic factors: The case of Turkey with projections. Renewable and Sustainable Energy Reviews, 35, 382-389

  17. British Petroleum (BP). 2014. Statistical review of world energy. London: British Petroleum.

  18. Aydin, G., 2014b. The modeling of coal related CO 2 emissions and projections into future planning. Energy Sources Part A: Recovery, Utilization, and Environmental Effects, 36 (2), 191-201

  19. Chang, Y., Lee, J., and Yoon, H., 2012. Alternative projection of the world energy consumption in comparison with the 2010 International Energy Outlook. Energy Policy, 50, 154 –160.

  20. Suganthia, L., and Samuel, A.A., 2012. Energy models for demand forecasting — A review. Renewable and Sustainable Energy Reviews, 16, 1223–1240.

  21. Kankal, M., Akpınar, A., Komurcu, I.M., Ozşahin, S.T., 2011. Modeling and forecasting of Turkey’s energy consumption using socio -economic and demographic variables. Applied Energy, 88, 1927– 1939.

  22. Aydin, G., 2014c. Production modeling in the oil and natural gas industry: An application of trend analysis. Petroleum Science and Technology, 32 (5), 555-564

  23. International Monetary Fund (IMF). World economic outlook database. Washington; 2015.

  24. Friedl, B., Getzner, M., 2003. Determinants of CO 2 emissions in a small open economy. Ecological Economics, 45, 133-148.

  25. Pao, H., Tsai, C., 2011. Modeling and forecasting the CO 2 emissions, energy consumption, and economic growth in Brazil. Energy, 36, 2450–2458

  26. Aranda, A., Ferreira, G., Mainar-Toledo, D.M., Scarpellini, S., Sastresa, L.E., 2012. Multiple regression models to predict the annual energy consumption in the Spanish banking sector. Energy and Buildings, 49, 380– 387.

  27. Mohamed, Z., Bodger, P., 2005. Forecasting electricity consumption in New Zealand using economic and demographic variables. Energy, 30, 1833– 43.

  28. Aydin, G., 2015a. The modeling and projection of primary energy consumption by the sources. Energy Sources Part B: Economics, Planning, and Policy, 10 (1), 67-

  29. Aydin, G., 2015b . The Development and validation of regression models to predict energy-related CO 2 emissions in Turkey. Energy Sources Part B: Economics, Planning, and Policy, 10 (2), 176–182

  30. Lewis, C.D., 1982. International and business forecasting methods. London: Butterworths. International Multidisciplinary Scientific GeoConfenferences SGEM 2015 www.sgem.org

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