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Electricity Time-of-Use Tariff with Stochastic Demand

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  • Ciwei Dong
  • Chi To Ng
  • T. C. E. Cheng

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Suggested Citation

  • Ciwei Dong & Chi To Ng & T. C. E. Cheng, 2017. "Electricity Time-of-Use Tariff with Stochastic Demand," Production and Operations Management, Production and Operations Management Society, vol. 26(1), pages 64-79, January.
    • Handle: RePEc:bla:popmgt:v:26:y:2017:i:1:p:64-79
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    File URL: http://hdl.handle.net/10.1111/poms.12610
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    Citations

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    Cited by:

    1. Kapitonov, Ivan A. & Patapas, Aleksandras, 2021. "Principles regulation of electricity tariffs for the integrated generation of traditional and alternative energy sources," Renewable and Sustainable Energy Reviews, Elsevier, vol. 146(C).
    2. Chen, Mingyang & Zhao, Daozhi & Gong, Yeming & Rekik, Yacine, 2022. "An on-demand service platform with self-scheduling capacity: Uniform versus multiplier-based pricing," International Journal of Production Economics, Elsevier, vol. 243(C).
    3. Quentin Raillard-Cazanove & Edward Barbour, 2022. "Analysis of Smart Meter Electricity Consumption Data for PV Storage in the UK," Energies, MDPI, vol. 15(10), pages 1-15, May.
    4. Lu-Miao Li, Peng Zhou, and Wen Wen, 2023. "Distributed Renewable Energy Investment: The Effect of Time-of-Use Pricing," The Energy Journal, International Association for Energy Economics, vol. 0(Number 5).
    5. Winfield, Mark & Shokrzadeh, Shahab & Jones, Adam, 2018. "Energy policy regime change and advanced energy storage: A comparative analysis," Energy Policy, Elsevier, vol. 115(C), pages 572-583.
    6. Siqin, Tana & Choi, Tsan-Ming & Chung, Sai-Ho, 2022. "Optimal E-tailing channel structure and service contracting in the platform era," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 160(C).
    7. Daeho Kim & Dong Gu Choi, 2023. "The aggregator’s contract design problem in the electricity demand response market," Operational Research, Springer, vol. 23(1), pages 1-47, March.
    8. Cui, Weiwei & Li, Lin, 2018. "A game-theoretic approach to optimize the Time-of-Use pricing considering customer behaviors," International Journal of Production Economics, Elsevier, vol. 201(C), pages 75-88.
    9. Choi, Dong Gu & Murali, Karthik, 2022. "The impact of heterogeneity in consumer characteristics on the design of optimal time-of-use tariffs," Energy, Elsevier, vol. 254(PB).
    10. Hosseini-Motlagh, Seyyed-Mahdi & Choi, Tsan-Ming & Johari, Maryam & Nouri-Harzvili, Mina, 2022. "A profit surplus distribution mechanism for supply chain coordination: An evolutionary game-theoretic analysis," European Journal of Operational Research, Elsevier, vol. 301(2), pages 561-575.
    11. Dai, Yeming & Sun, Xilian & Qi, Yao & Leng, Mingming, 2021. "A real-time, personalized consumption-based pricing scheme for the consumptions of traditional and renewable energies," Renewable Energy, Elsevier, vol. 180(C), pages 452-466.
    12. Chin Hui Hao & Presley K. Wesseh & David Iheke Okorie & Hermas Abudu, 2023. "Implications of Growing Wind and Solar Penetration in Retail Electricity Markets with Gradual Demand Response," Energies, MDPI, vol. 16(23), pages 1-15, December.
    13. Mohammad Rasouli & Demosthenis Teneketzis, 2021. "Economizing the Uneconomic: Markets for Reliable, Sustainable, and Price Efficient Electricity," Sustainability, MDPI, vol. 13(8), pages 1-38, April.

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