Junaid Alam Memon
|[This author has chosen not to make the email address public]|
Pakistan Institute of Development EconomicsIslamabad, Pakistan
P.O.Box 1091, Islamabad-44000
RePEc:edi:pideipk (more details at EDIRC)
Research outputJump to: Working papers Articles
- Junaid Alam Memon & Gopal B. Thapa, 2015. "Explaining the de facto Open-access of Public Property Commons," PIDE-Working Papers 2015:114, Pakistan Institute of Development Economics.
- 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.
- Junaid Alam Memon & Usman Mustafa, 2012. "Emerging Issues in The Implementation of Irrigation and Drainage Sector Reforms in Sindh, Pakistan," The Pakistan Development Review, Pakistan Institute of Development Economics, vol. 51(4), pages 289-301.
CitationsMany of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.
Sorry, no citations of working papers recorded.
- Hussain, Anwar & Rahman, Muhammad & Memon, Junaid Alam, 2016.
"Forecasting electricity consumption in Pakistan: the way forward,"
Elsevier, vol. 90(C), pages 73-80.
- Cheng-Wen Lee & Bing-Yi Lin, 2016. "Application of Hybrid Quantum Tabu Search with Support Vector Regression (SVR) for Load Forecasting," Energies, MDPI, Open Access Journal, vol. 9(11), pages 1-16, October.
- Cheng-Wen Lee & Bing-Yi Lin, 2017. "Applications of the Chaotic Quantum Genetic Algorithm with Support Vector Regression in Load Forecasting," Energies, MDPI, Open Access Journal, vol. 10(11), pages 1-18, November.
- Yi Liang & Dongxiao Niu & Ye Cao & Wei-Chiang Hong, 2016. "Analysis and Modeling for China’s Electricity Demand Forecasting Using a Hybrid Method Based on Multiple Regression and Extreme Learning Machine: A View from Carbon Emission," Energies, MDPI, Open Access Journal, vol. 9(11), pages 1-22, November.
- Ma, Weiwu & Fang, Song & Liu, Gang & Zhou, Ruoyu, 2017. "Modeling of district load forecasting for distributed energy system," Applied Energy, Elsevier, vol. 204(C), pages 181-205.
- Guo, Zhifeng & Zhou, Kaile & Zhang, Chi & Lu, Xinhui & Chen, Wen & Yang, Shanlin, 2018. "Residential electricity consumption behavior: Influencing factors, related theories and intervention strategies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P1), pages 399-412.
- Syed Aziz Ur Rehman & Yanpeng Cai & Rizwan Fazal & Gordhan Das Walasai & Nayyar Hussain Mirjat, 2017. "An Integrated Modeling Approach for Forecasting Long-Term Energy Demand in Pakistan," Energies, MDPI, Open Access Journal, vol. 10(11), pages 1-23, November.
- Silva, Felipe L.C. & Souza, Reinaldo C. & Cyrino Oliveira, Fernando L. & Lourenco, Plutarcho M. & Calili, Rodrigo F., 2018. "A bottom-up methodology for long term electricity consumption forecasting of an industrial sector - Application to pulp and paper sector in Brazil," Energy, Elsevier, vol. 144(C), pages 1107-1118.
- Khan, Muhammad Arshad & Abbas, Faisal, 2016. "The dynamics of electricity demand in Pakistan: A panel cointegration analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 65(C), pages 1159-1178.
- Suat Ozturk & Feride Ozturk, 2018. "Forecasting Energy Consumption of Turkey by Arima Model," Journal of Asian Scientific Research, Asian Economic and Social Society, vol. 8(2), pages 52-60, February.
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