Designing an electricity distribution reward-penalty scheme based on spatial reliability statistics
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DOI: 10.1016/j.jup.2021.101211
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- Ajodhia, Virendra & Lo Schiavo, Luca & Malaman, Roberto, 2006. "Quality regulation of electricity distribution in Italy: an evaluation study," Energy Policy, Elsevier, vol. 34(13), pages 1478-1486, September.
- Haney, Aoife Brophy & Pollitt, Michael G., 2009.
"Efficiency analysis of energy networks: An international survey of regulators,"
Energy Policy, Elsevier, vol. 37(12), pages 5814-5830, December.
- Aoife Brophy Haney & Michael G. Pollitt, 2009. "Efficiency Analysis of Energy Networks: An International Survey of Regulators," Working Papers EPRG 0915, Energy Policy Research Group, Cambridge Judge Business School, University of Cambridge.
- Brophy Haney, A. & Pollitt, M.G., 2009. "Efficiency Analysis of Energy Networks : An International Survey of Regulators," Cambridge Working Papers in Economics 0926, Faculty of Economics, University of Cambridge.
- Kuosmanen, Timo & Saastamoinen, Antti & Sipiläinen, Timo, 2013. "What is the best practice for benchmark regulation of electricity distribution? Comparison of DEA, SFA and StoNED methods," Energy Policy, Elsevier, vol. 61(C), pages 740-750.
- Božič, Dušan & Pantoš, Miloš, 2013. "Assessment of investment efficiency in a power system under performance-based regulation," Energy, Elsevier, vol. 51(C), pages 330-338.
- Ghasemi, Mostafa & Dashti, Reza, 2018. "Designing a decision model to assess the reward and penalty scheme of electric distribution companies," Energy, Elsevier, vol. 147(C), pages 329-336.
- Shuttleworth, Graham, 2005. "Benchmarking of electricity networks: Practical problems with its use for regulation," Utilities Policy, Elsevier, vol. 13(4), pages 310-317, December.
- Banker, Rajiv D. & Gadh, Vandana M. & Gorr, Wilpen L., 1993. "A Monte Carlo comparison of two production frontier estimation methods: Corrected ordinary least squares and data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 67(3), pages 332-343, June.
- Ghasemi, Mostafa & Dashti, Reza, 2017. "A risk-based model for performance-based regulation of electric distribution companies," Utilities Policy, Elsevier, vol. 45(C), pages 36-44.
- Peter Bogetoft & Lars Otto, 2011. "Benchmarking with DEA, SFA, and R," International Series in Operations Research and Management Science, Springer, number 978-1-4419-7961-2, April.
- Sreenithya Sumesh & Vidyasagar Potdar & Aneesh Krishna, 2019. "Cubic reward penalty structure for power distribution companies," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 10(3), pages 350-368, June.
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Cited by:
- Yang Zhang & Yuehong Lu & Changlong Wang & Zhijia Huang & Tao Lv, 2021. "Reward–Penalty Mechanism Based on Daily Energy Consumption for Net-Zero Energy Buildings," Sustainability, MDPI, vol. 13(22), pages 1-18, November.
- de Mendonça, Mário Jorge Cardoso & Pereira, Amaro Olimpio & Bellido, Marlon Max H. & Medrano, Luis Alberto & Pessanha, José Francisco Moreira, 2023. "Service quality performance indicators for electricity distribution in Brazil," Utilities Policy, Elsevier, vol. 80(C).
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Keywords
Quality of service; Electricity supply industry deregulation; Power system reliability. method of moments;All these keywords.
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