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Analysis of the Syrian long-term energy and electricity demand projection using the end-use methodology

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  • Hainoun, A.
  • Seif-Eldin, M.K.
  • Almoustafa, S.

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  • Hainoun, A. & Seif-Eldin, M.K. & Almoustafa, S., 2006. "Analysis of the Syrian long-term energy and electricity demand projection using the end-use methodology," Energy Policy, Elsevier, vol. 34(14), pages 1958-1970, September.
    • Handle: RePEc:eee:enepol:v:34:y:2006:i:14:p:1958-1970
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    1. Zamanipour, Behzad & Ghadaksaz, Hesam & Keppo, Ilkka & Saboohi, Yadollah, 2023. "Electricity supply and demand dynamics in Iran considering climate change-induced stresses," Energy, Elsevier, vol. 263(PE).
    2. Bhattacharyya, Subhes C. & Timilsina, Govinda R., 2010. "Modelling energy demand of developing countries: Are the specific features adequately captured?," Energy Policy, Elsevier, vol. 38(4), pages 1979-1990, April.
    3. Wen, Zongguo & Chen, Min & Meng, Fanxin, 2015. "Evaluation of energy saving potential in China's cement industry using the Asian-Pacific Integrated Model and the technology promotion policy analysis," Energy Policy, Elsevier, vol. 77(C), pages 227-237.
    4. Behrang, M.A. & Assareh, E. & Ghalambaz, M. & Assari, M.R. & Noghrehabadi, A.R., 2011. "Forecasting future oil demand in Iran using GSA (Gravitational Search Algorithm)," Energy, Elsevier, vol. 36(9), pages 5649-5654.
    5. Fleiter, Tobias & Worrell, Ernst & Eichhammer, Wolfgang, 2011. "Barriers to energy efficiency in industrial bottom-up energy demand models--A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(6), pages 3099-3111, August.
    6. Hainoun, A. & Seif Aldin, M. & Almoustafa, S., 2010. "Formulating an optimal long-term energy supply strategy for Syria using MESSAGE model," Energy Policy, Elsevier, vol. 38(4), pages 1701-1714, April.
    7. Hainoun, A. & Omar, H. & Almoustafa, S. & Seif-Eldin, M.K. & Meslmani, Y., 2014. "Future development of Syrian power sector in view of GHG mitigation options," Renewable and Sustainable Energy Reviews, Elsevier, vol. 38(C), pages 1045-1055.
    8. Zahedi, Gholamreza & Azizi, Saeed & Bahadori, Alireza & Elkamel, Ali & Wan Alwi, Sharifah R., 2013. "Electricity demand estimation using an adaptive neuro-fuzzy network: A case study from the Ontario province – Canada," Energy, Elsevier, vol. 49(C), pages 323-328.
    9. Pukšec, Tomislav & Mathiesen, Brian Vad & Novosel, Tomislav & Duić, Neven, 2014. "Assessing the impact of energy saving measures on the future energy demand and related GHG (greenhouse gas) emission reduction of Croatia," Energy, Elsevier, vol. 76(C), pages 198-209.
    10. Tyralis, Hristos & Karakatsanis, Georgios & Tzouka, Katerina & Mamassis, Nikos, 2017. "Exploratory data analysis of the electrical energy demand in the time domain in Greece," Energy, Elsevier, vol. 134(C), pages 902-918.
    11. Zhang, Chao & Chen, Jining & Wen, Zongguo, 2012. "Alternative policy assessment for water pollution control in China's pulp and paper industry," Resources, Conservation & Recycling, Elsevier, vol. 66(C), pages 15-26.
    12. Aryal, Sushil & Dhakal, Shobhakar & KC, Samrat, 2023. "Integrated analysis of end-use electrification and cross-border electricity trade policies for hydropower enabled energy transformation in Nepal," Renewable Energy, Elsevier, vol. 219(P1).

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