IDEAS home Printed from https://ideas.repec.org/a/aen/journl/ej35-3-06.html
   My bibliography  Save this article

Do Day-Ahead Electricity Prices Reflect Economic Fundamentals? Evidence from the California ISO

Author

Listed:
  • Kevin F. Forbes and Ernest M. Zampelli

Abstract

No abstract is available for this item.

Suggested Citation

  • Kevin F. Forbes and Ernest M. Zampelli, 2014. "Do Day-Ahead Electricity Prices Reflect Economic Fundamentals? Evidence from the California ISO," The Energy Journal, International Association for Energy Economics, vol. 0(Number 3).
  • Handle: RePEc:aen:journl:ej35-3-06
    as

    Download full text from publisher

    File URL: http://www.iaee.org/en/publications/ejarticle.aspx?id=2571
    Download Restriction: Access to full text is restricted to IAEE members and subscribers.
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Arthur Thomas & Olivier Massol & Benoît Sévi, 2019. "How are day-ahead prices informative for predicting the next day’s consumption of natural gas?," Post-Print hal-04319396, HAL.
    2. Forbes, Kevin F. & Zampelli, Ernest M., 2019. "Wind energy, the price of carbon allowances, and CO2 emissions: Evidence from Ireland," Energy Policy, Elsevier, vol. 133(C).
    3. Bigerna, Simona, 2018. "Estimating temperature effects on the Italian electricity market," Energy Policy, Elsevier, vol. 118(C), pages 257-269.
    4. Goutte, Stéphane & Vassilopoulos, Philippe, 2019. "The value of flexibility in power markets," Energy Policy, Elsevier, vol. 125(C), pages 347-357.
    5. Richard Benjamin, 2016. "Tacit Collusion in Electricity Markets with Uncertain Demand," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 48(1), pages 69-93, February.
    6. Richard Benjamin, 2016. "Tacit Collusion in Electricity Markets with Uncertain Demand," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 48(1), pages 69-93, February.
    7. Forbes, Kevin F., 2023. "Demand for grid-supplied electricity in the presence of distributed solar energy resources: Evidence from New York City," Utilities Policy, Elsevier, vol. 80(C).
    8. Mosquera-López, Stephanía & Uribe, Jorge M. & Manotas-Duque, Diego F., 2018. "Effect of stopping hydroelectric power generation on the dynamics of electricity prices: An event study approach," Renewable and Sustainable Energy Reviews, Elsevier, vol. 94(C), pages 456-467.

    More about this item

    JEL classification:

    • F0 - International Economics - - General

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:aen:journl:ej35-3-06. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: David Williams (email available below). General contact details of provider: https://edirc.repec.org/data/iaeeeea.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.