Impact of oil prices, economic diversification policies and energy conservation programs on the electricity and water demands in Kuwait
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DOI: 10.1016/j.enpol.2013.10.061
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References listed on IDEAS
- 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.
- Bhattacharyya, Subhes C. & Timilsina, Govinda R., 2009. "Energy demand models for policy formulation : a comparative study of energy demand models," Policy Research Working Paper Series 4866, The World Bank.
- Bianco, Vincenzo & Manca, Oronzio & Nardini, Sergio, 2009. "Electricity consumption forecasting in Italy using linear regression models," Energy, Elsevier, vol. 34(9), pages 1413-1421.
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Cited by:
- Alasseri, Rajeev & Tripathi, Ashish & Joji Rao, T. & Sreekanth, K.J., 2017. "A review on implementation strategies for demand side management (DSM) in Kuwait through incentive-based demand response programs," Renewable and Sustainable Energy Reviews, Elsevier, vol. 77(C), pages 617-635.
- Azar, Elie & Alaifan, Bader & Lin, Min & Trepci, Esra & El Asmar, Mounir, 2021. "Drivers of energy consumption in Kuwaiti buildings: Insights from a hybrid statistical and building performance simulation approach," Energy Policy, Elsevier, vol. 150(C).
- Edalati, Saeed & Ameri, Mehran & Iranmanesh, Masoud & Sadeghi, Zeinolabedin, 2017. "Solar photovoltaic power plants in five top oil-producing countries in Middle East: A case study in Iran," Renewable and Sustainable Energy Reviews, Elsevier, vol. 69(C), pages 1271-1280.
- Ayele Gelan & Geoffrey J. D. Hewings & Ahmad Alawadhi, 2021. "Diversifying a resource-dependent economy: private–public relationships in the Kuwaiti economy," Journal of Economic Structures, Springer;Pan-Pacific Association of Input-Output Studies (PAPAIOS), vol. 10(1), pages 1-22, December.
- Alshawaf, Mohammad & Poudineh, Rahmatallah & Alhajeri, Nawaf S., 2020. "Solar PV in Kuwait: The effect of ambient temperature and sandstorms on output variability and uncertainty," Renewable and Sustainable Energy Reviews, Elsevier, vol. 134(C).
- Mohammad Al-Zuhair & Talal AL-Bazali, 2022. "Causality Between Energy Consumption and Economic Growth: The Case of Kuwait," International Journal of Energy Economics and Policy, Econjournals, vol. 12(6), pages 22-29, November.
- Naegele, S.M. & McCandless, T.C. & Greybush, S.J. & Young, G.S. & Haupt, S.E. & Al-Rasheedi, M., 2020. "Climatology of wind variability for the Shagaya region in Kuwait," Renewable and Sustainable Energy Reviews, Elsevier, vol. 133(C).
- Alsayegh, Osamah & Saker, Nathalie & Alqattan, Ayman, 2018. "Integrating sustainable energy strategy with the second development plan of Kuwait," Renewable and Sustainable Energy Reviews, Elsevier, vol. 82(P3), pages 3430-3440.
- Osama Alfalah, 2021. "Estimating Residential Demand for Water in Kuwait: A Cointegration Analysis," International Journal of Energy Economics and Policy, Econjournals, vol. 11(4), pages 283-287.
- Alasseri, Rajeev & Rao, T. Joji & Sreekanth, K.J., 2020. "Institution of incentive-based demand response programs and prospective policy assessments for a subsidized electricity market," Renewable and Sustainable Energy Reviews, Elsevier, vol. 117(C).
- Zhang, Chi & Zhou, Kaile & Yang, Shanlin & Shao, Zhen, 2017. "On electricity consumption and economic growth in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 76(C), pages 353-368.
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Keywords
Demand forecast; Energy efficiency; Oil revenue;All these keywords.
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