Estimation of net energy consumption in turkey using different indicators

Energy Sources, Part B: Economics, Planning and Policy

Volumn 4, Issue 3, 2009, Pages 261-277

  Sozen A ^a   Arcaklioglu, E ^b   Tekiner, Z ^a  

^a GAZI UNIVERSITY   (Turkey)

^b KIRIKKALE UNIVERSITY   (Turkey)

Author keywords

Artificial neural network; Energy consumption; Energy sources; Gross domestic product; Gross national product; Turkey

Indexed keywords

ARTIFICIAL NEURAL NETWORK; ENERGY CONSUMPTION; ENERGY SOURCE; GROSS DOMESTIC PRODUCTS; GROSS NATIONAL PRODUCT;

ECONOMICS; ELECTRIC LOAD FORECASTING; ENERGY UTILIZATION; INVESTMENTS;

NEURAL NETWORKS;

EID: 71749089276     PISSN: 15567249     EISSN: 15567257     Source Type: Journal    
DOI: 10.1080/15567240701620515     Document Type: Article

References (31)

1. Altinay, G., and Karagöl, E. 2004. Structural break, unit root, and the casuality between energy consumption and GDP in Turkey. Energy Econ. 26:985-994.
2. Attiti, R. 1992. First and second order methods for learning: Between steepest descent and Newton's method. Neural Comput. 4:141-166.
3. Demirba̧s, A. 2002. Turkey's energy overview beginning in the twenty-first century. Energy Convers. & Mgmt. 43:1877-1887.
4. Dinçer, I., and Dost, S. 1996. Energy intensities for Canada. Appl. Energy 76:211-217.
5. Ediger, V. Ş., and Akar, S. 2007. ARIMA forecasting of primary energy demand by fuel in Turkey. Energy Policy 35:1701-1708.
6. Ediger, V. Ş., and Tatlidil, H. 2002. Forecasting the primary energy demand in Turkey and analysis of cyclic patterns. Energy Convers. & Mgmt. 43:473-487.
7. Hagan, M. T., and Menhaj, M. B. 1994. Training feed-forward networks with the Marquardt algorithm. IEEE Trans. Neural Network 5:989-993.
8. Hamzaçebi, C. 2007. Forecasting of Turkey's net electricity energy consumption on sectoral bases. Energy Policy 35:2009-2016.
9. Haykin, S. 1994. Neural Networks: A Comprehensive Foundation. New York, Macmillan.
10. Hepbasli, A. 2005. Development and restructuring of Turkey's electricity sector: A review. Renew. & Sustain. Energy Rev. 9:311-343.
11. Hwang, D., and Gum, B. 1991. The casual relationship between energy and GNP: The case of Taiwan. J. Energy Devel. 16:219-226.
12. Kalogirou, S. A. 2003. Artificial intelligence for the modeling and control of combustion processes: A review. Progr. Energy & Combus. Sci. 29:515-566.
13. Kiliç, F. C., and Kaya, D. 2007. Energy production, consumption, policies, and recent developments in Turkey. Renew. & Sustain. Energy Rev. 11:1312-1320.
14. Kraft, J., and Kraft, A. 1978. On the relationship between energy and GNP. J. Energy Devel. 3:401-403.
15. Lise, W., and Montfort, K. V. 2007. Energy consumption and GDP in Turkey: Is there a cointegration relationship? Energy Econ. 29:1166-1178.
16. Marquardt, D. 1963. An algorithm for least squares estimation of non-linear parameters. J. Soc. Ind. Appl. Math. 3:431-441.
17. Mellita, A., Benghanemb,M., and Kalogirou, S. A. 2007.Modeling and simulation of a stand-alone photovoltaic system using an adaptive artificial neural network: Proposition for a new sizing procedure. Renew. Energy 32:285-313.
18. Mozumder, P., and Marathe, A. 2007. Casuality relationship between electricity consumption and GDP in Bangladesh. Energy Policy 35:395-402.
19. Özturk, H. K., Canyurt, O. C., Hepba̧sļ,A., and Utlu, Z. 2004. Residential-commercial energy input estimation based on genetic algorithm (GA) approaches: An application of Turkey. Energy & Buildings 36:175-183.
20. Öztürk, K. H., Ceylan, H., Canyurt, O. E., and Hepba̧sļ, A. 2005. Electricity estimation using genetic algorithm approach: A case study of Turkey. Energy 30:1003-1012.
21. Öztürk, H. K., Yilanci, A., and Atalay, Ö. 2007. Past, present and future status of electricity in Turkey and the share of energy sources. Renew. & Sustain. Energy Rev. 11:183-209.
22. 2emissions in Turkey: Empirical analysis and future projection based on an economic growth. Energy Policy 34:3870-3876.
23. Soyta̧s, U., Sar?, R., and Özdemir, O. 2001. Energy consumption and GDP relation in Turkey: A cointegration and vector error correction analysis. Economies and Business in Transition: Facilitating Competitiveness and Change in the Global Environment Proceedings, USA: Global Business and Technology Association, pp. 838-844.
24. Sözen, A., Arcakļǒglu, E., and Özkaymak, M. 2006. Forecasting net energy consumption using artificial neural network. Energy Sources, Part B 1:147-155.
25. Sözen, A., and Arcakļǒlglu, E. 2007. Prospects of future projections of the basic energy sources in Turkey. Energy Sources, Part B 2:183-201.
26. Stergiou, C., and Siganos, D. 2007. Neural Networks. Surprise 96 Journal 4:172-181.
27. Topçu, Y. I., and Ülengin, F. 2004. Energy for the future: An integrated decision aid for the case of Turkey. Energy 29:137-154.
28. Tunç, M., Çamdaļ, Ü., and Parmakş. zǒglu, C. 2006. Comparison of Turkey's electrical energy consumption and production with some European countries and optimization of future electrical power supply investments in Turkey. Energy Policy 34:50-59.
29. WEC-TNC. 2000.World Energy Council-Turkish National Committee, Energy Report and Statistics for 1999, 2000. Ankara, Turkey.
30. Yu, S. H., and Choi, J. Y. 1985. The casual relationship between energy and GNP: An international comparison. J. Energy Devel. 10:249-272.
31. Zhang, J. J. 2005. Introduction to Artificial Neural Network. Bellingham, WA: Bellingham AI Robotics Society.