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Properties of Electricity Prices and the Drivers of Interconnector Revenue

Author

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  • Vladimir Parail

Abstract

No abstract is available for this item.

Suggested Citation

  • Vladimir Parail, 2010. "Properties of Electricity Prices and the Drivers of Interconnector Revenue," Working Papers EPRG 1033, Energy Policy Research Group, Cambridge Judge Business School, University of Cambridge.
    • Handle: RePEc:enp:wpaper:eprg1033
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    File URL: https://www.jbs.cam.ac.uk/wp-content/uploads/2023/12/eprg-wp1033.pdf
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    Citations

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    Cited by:

    1. Michael G. Pollitt and Karim L. Anaya, 2016. "Can current electricity markets cope with high shares of renewables? A comparison of approaches in Germany, the UK and the State of New York," The Energy Journal, International Association for Energy Economics, vol. 0(Bollino-M).
    2. Egerer, Jonas & Kunz, Friedrich & Hirschhausen, Christian von, 2013. "Development scenarios for the North and Baltic Seas Grid – A welfare economic analysis," Utilities Policy, Elsevier, vol. 27(C), pages 123-134.
    3. Wang, Chen & Zhou, Kaile & Yang, Shanlin, 2017. "A review of residential tiered electricity pricing in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 79(C), pages 533-543.
    4. van der Weijde, Adriaan Hendrik & Hobbs, Benjamin F., 2012. "The economics of planning electricity transmission to accommodate renewables: Using two-stage optimisation to evaluate flexibility and the cost of disregarding uncertainty," Energy Economics, Elsevier, vol. 34(6), pages 2089-2101.
    5. Nepal, Rabindra & Jamasb, Tooraj, 2012. "Interconnections and market integration in the Irish Single Electricity Market," Energy Policy, Elsevier, vol. 51(C), pages 425-434.
    6. Philip Mayer & Christopher Stephen Ball & Stefan Vögele & Wilhelm Kuckshinrichs & Dirk Rübbelke, 2019. "Analyzing Brexit: Implications for the Electricity System of Great Britain," Energies, MDPI, vol. 12(17), pages 1-27, August.
    7. Eskandari Torbaghan, Mehran & Burrow, Michael P.N. & Hunt, Dexter V.L. & Elcheikh, Marwa, 2017. "Risk-Based Framework (RBF) for a UK Pan-European Supergrid," Energy, Elsevier, vol. 124(C), pages 124-132.

    More about this item

    Keywords

    merchant interconnectors; electricity prices; price volatility; simulation; bootstrapping;
    All these keywords.

    JEL classification:

    • C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General
    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)
    • L94 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Electric Utilities

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