Hydroelectricity consumption forecast for Pakistan using ARIMA modeling and supply-demand analysis for the year 2030
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DOI: 10.1016/j.renene.2020.02.117
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- Sheikh, Munawar A., 2009. "Renewable energy resource potential in Pakistan," Renewable and Sustainable Energy Reviews, Elsevier, vol. 13(9), pages 2696-2702, December.
- Perwez, Usama & Sohail, Ahmed & Hassan, Syed Fahad & Zia, Usman, 2015. "The long-term forecast of Pakistan's electricity supply and demand: An application of long range energy alternatives planning," Energy, Elsevier, vol. 93(P2), pages 2423-2435.
- Im, Kyung So & Pesaran, M. Hashem & Shin, Yongcheol, 2003.
"Testing for unit roots in heterogeneous panels,"
Journal of Econometrics, Elsevier, vol. 115(1), pages 53-74, July.
- Pasaran, M.H. & Im, K.S. & Shin, Y., 1995. "Testing for Unit Roots in Heterogeneous Panels," Cambridge Working Papers in Economics 9526, Faculty of Economics, University of Cambridge.
- Tom Doan, "undated". "IPSHIN: RATS procedure to implement Im, Pesaran and Shin panel unit root test," Statistical Software Components RTS00098, Boston College Department of Economics.
- Sheikh, Munawar A., 2010. "Energy and renewable energy scenario of Pakistan," Renewable and Sustainable Energy Reviews, Elsevier, vol. 14(1), pages 354-363, January.
- Wang, Shuai & Yu, Lean & Tang, Ling & Wang, Shouyang, 2011. "A novel seasonal decomposition based least squares support vector regression ensemble learning approach for hydropower consumption forecasting in China," Energy, Elsevier, vol. 36(11), pages 6542-6554.
- 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.
- Mirza, Umar K. & Ahmad, Nasir & Majeed, Tariq & Harijan, Khanji, 2008. "Hydropower use in Pakistan: Past, present and future," Renewable and Sustainable Energy Reviews, Elsevier, vol. 12(6), pages 1641-1651, August.
- Siddiqi, Afreen & Wescoat, James L. & Humair, Salal & Afridi, Khurram, 2012. "An empirical analysis of the hydropower portfolio in Pakistan," Energy Policy, Elsevier, vol. 50(C), pages 228-241.
- Yuan, Chaoqing & Liu, Sifeng & Fang, Zhigeng, 2016. "Comparison of China's primary energy consumption forecasting by using ARIMA (the autoregressive integrated moving average) model and GM(1,1) model," Energy, Elsevier, vol. 100(C), pages 384-390.
- Valasai, Gordhan Das & Uqaili, Muhammad Aslam & Memon, HafeezUr Rahman & Samoo, Saleem Raza & Mirjat, Nayyar Hussain & Harijan, Khanji, 2017. "Overcoming electricity crisis in Pakistan: A review of sustainable electricity options," Renewable and Sustainable Energy Reviews, Elsevier, vol. 72(C), pages 734-745.
- Erdogdu, Erkan, 2007.
"Electricity demand analysis using cointegration and ARIMA modelling: A case study of Turkey,"
Energy Policy, Elsevier, vol. 35(2), pages 1129-1146, February.
- Erdogdu, Erkan, 2007. "Electricity Demand Analysis Using Cointegration and ARIMA Modelling: A case study of Turkey," MPRA Paper 19099, University Library of Munich, Germany.
- Asif, M., 2009. "Sustainable energy options for Pakistan," Renewable and Sustainable Energy Reviews, Elsevier, vol. 13(4), pages 903-909, May.
- Rauf, Omer & Wang, Shujie & Yuan, Peng & Tan, Junzhe, 2015. "An overview of energy status and development in Pakistan," Renewable and Sustainable Energy Reviews, Elsevier, vol. 48(C), pages 892-931.
- Rafique, M. Mujahid & Rehman, S., 2017. "National energy scenario of Pakistan – Current status, future alternatives, and institutional infrastructure: An overview," Renewable and Sustainable Energy Reviews, Elsevier, vol. 69(C), pages 156-167.
- Hal Caswell & Nora Sánchez Gassen, 2015. "The sensitivity analysis of population projections," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 33(28), pages 801-840.
- Mirjat, Nayyar Hussain & Uqaili, Mohammad Aslam & Harijan, Khanji & Valasai, Gordhan Das & Shaikh, Faheemullah & Waris, M., 2017. "A review of energy and power planning and policies of Pakistan," Renewable and Sustainable Energy Reviews, Elsevier, vol. 79(C), pages 110-127.
- Debnath, Kumar Biswajit & Mourshed, Monjur, 2018. "Forecasting methods in energy planning models," Renewable and Sustainable Energy Reviews, Elsevier, vol. 88(C), pages 297-325.
- Hussain, Anwar & Rahman, Muhammad & Memon, Junaid Alam, 2016. "Forecasting electricity consumption in Pakistan: the way forward," Energy Policy, Elsevier, vol. 90(C), pages 73-80.
- Levin, Andrew & Lin, Chien-Fu & James Chu, Chia-Shang, 2002.
"Unit root tests in panel data: asymptotic and finite-sample properties,"
Journal of Econometrics, Elsevier, vol. 108(1), pages 1-24, May.
- Tom Doan, "undated". "LEVINLIN: RATS procedure to perform Levin-Lin-Chu test for unit roots in panel data," Statistical Software Components RTS00242, Boston College Department of Economics.
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Keywords
Hydroelectricity consumption; ARIMA model; Time series forecasting; Hydropower; Renewable energy; Pakistan;All these keywords.
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