IDEAS home Printed from https://ideas.repec.org/a/rsk/journ2/7808701.html

Efficient representation of supply and demand curves on day-ahead electricity markets

Author

Listed:
  • Mariia Soloviova
  • Tiziano Vargiolu

Abstract

We model the supply and demand curves of electricity day-ahead auctions in a parsimonious way by building an appropriate algorithm to present the information about electricity prices and demand with far fewer parameters than the existing algorithm. We represent each curve using mesh-free interpolation techniques based on radial basis function approximation. We describe the results of this method for the day-ahead IPEX spot price of Italy and then use these representations to forecast supply and demand and find the intersection of the predicted supply and demand curves in order to obtain the market clearing price.

Suggested Citation

  • Mariia Soloviova & Tiziano Vargiolu, . "Efficient representation of supply and demand curves on day-ahead electricity markets," Journal of Energy Markets, Journal of Energy Markets.
    • Handle: RePEc:rsk:journ2:7808701
    as

    Download full text from publisher

    File URL: https://www.risk.net/journal-of-energy-markets/7808701/efficient-representation-of-supply-and-demand-curves-on-day-ahead-electricity-markets
    Download Restriction: no
    ---><---

    Other versions of this item:

    Citations

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


    Cited by:

    1. is not listed on IDEAS
    2. Micha{l} Narajewski & Florian Ziel, 2021. "Optimal bidding in hourly and quarter-hourly electricity price auctions: trading large volumes of power with market impact and transaction costs," Papers 2104.14204, arXiv.org, revised Feb 2022.
    3. Hakan Acaroğlu & Fausto Pedro García Márquez, 2021. "Comprehensive Review on Electricity Market Price and Load Forecasting Based on Wind Energy," Energies, MDPI, vol. 14(22), pages 1-23, November.

    More about this item

    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:rsk:journ2:7808701. 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: Thomas Paine (email available below). General contact details of provider: https://www.risk.net/journal-of-energy-markets .

    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.