Turkey’s Strategic Energy Efficiency Plan – An ex ante impact assessment of the residential sector
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DOI: 10.1016/j.enpol.2014.03.010
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- Hamzacebi, Coskun, 2007. "Forecasting of Turkey's net electricity energy consumption on sectoral bases," Energy Policy, Elsevier, vol. 35(3), pages 2009-2016, March.
- 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.
- ToksarI, M. Duran, 2009. "Estimating the net electricity energy generation and demand using the ant colony optimization approach: Case of Turkey," Energy Policy, Elsevier, vol. 37(3), pages 1181-1187, March.
- Train,Kenneth E., 2009. "Discrete Choice Methods with Simulation," Cambridge Books, Cambridge University Press, number 9780521747387.
- Dilaver, Zafer & Hunt, Lester C, 2011.
"Modelling and forecasting Turkish residential electricity demand,"
Energy Policy, Elsevier, vol. 39(6), pages 3117-3127, June.
- Zafer Dilaver & Lester C Hunt, 2010. "Modelling and Forecasting Turkish Residential Electricity Demand," Surrey Energy Economics Centre (SEEC), School of Economics Discussion Papers (SEEDS) 131, Surrey Energy Economics Centre (SEEC), School of Economics, University of Surrey.
- Frank M. Bass, 1969. "A New Product Growth for Model Consumer Durables," Management Science, INFORMS, vol. 15(5), pages 215-227, January.
- Ünler, Alper, 2008. "Improvement of energy demand forecasts using swarm intelligence: The case of Turkey with projections to 2025," Energy Policy, Elsevier, vol. 36(6), pages 1937-1944, June.
- Dan Horsky, 1990. "A Diffusion Model Incorporating Product Benefits, Price, Income and Information," Marketing Science, INFORMS, vol. 9(4), pages 342-365.
- Duran Toksari, M., 2007. "Ant colony optimization approach to estimate energy demand of Turkey," Energy Policy, Elsevier, vol. 35(8), pages 3984-3990, August.
- Ozturk, Harun Kemal & Ceylan, Halim & Canyurt, Olcay Ersel & Hepbasli, Arif, 2005. "Electricity estimation using genetic algorithm approach: a case study of Turkey," Energy, Elsevier, vol. 30(7), pages 1003-1012.
- Train,Kenneth E., 2009.
"Discrete Choice Methods with Simulation,"
Cambridge Books,
Cambridge University Press, number 9780521747387.
- Kenneth Train, 2003. "Discrete Choice Methods with Simulation," Online economics textbooks, SUNY-Oswego, Department of Economics, number emetr2.
- Train,Kenneth E., 2009. "Discrete Choice Methods with Simulation," Cambridge Books, Cambridge University Press, number 9780521766555.
- Canyurt, Olcay Ersel & Ozturk, Harun Kemal, 2008. "Application of genetic algorithm (GA) technique on demand estimation of fossil fuels in Turkey," Energy Policy, Elsevier, vol. 36(7), pages 2562-2569, July.
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- Christian Lutz & Ulrike Lehr & Philip Ulrich, 2014. "Economic Evaluation of Climate Protection Measures in Germany," International Journal of Energy Economics and Policy, Econjournals, vol. 4(4), pages 693-705.
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Keywords
Bottom-up analysis; Impact assessment of policies; Residential sector Turkey;All these keywords.
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