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

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  • Mariia Soloviova
  • Tiziano Vargiolu

Abstract

Our paper aims to model supply and demand curves of electricity day-ahead auction in a parsimonious way. Our main task is to build an appropriate algorithm to present the information about electricity prices and demands with far less parameters than the original one. We represent each curve using mesh-free interpolation techniques based on radial basis function approximation. We describe results of this method for the day-ahead IPEX spot price of Italy.

Suggested Citation

  • Mariia Soloviova & Tiziano Vargiolu, 2020. "Efficient representation of supply and demand curves on day-ahead electricity markets," Papers 2002.00507, arXiv.org.
    • Handle: RePEc:arx:papers:2002.00507
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    File URL: http://arxiv.org/pdf/2002.00507
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    References listed on IDEAS

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    1. Andreis, Luisa & Flora, Maria & Fontini, Fulvio & Vargiolu, Tiziano, 2020. "Pricing reliability options under different electricity price regimes," Energy Economics, Elsevier, vol. 87(C).
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    Cited by:

    1. 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.
    2. 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.

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