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Extended forecast methods for day-ahead electricity spot prices applying artificial neural networks

Author

Listed:
  • Keles, Dogan
  • Scelle, Jonathan
  • Paraschiv, Florentina
  • Fichtner, Wolf

Abstract

Day-ahead electricity prices are generally used as reference prices for decisions done in energy trading, e.g. purchase and sale strategies are typically based on the day-ahead spot prices. Therefore, well-performing forecast methods for day-ahead electricity prices are essential for energy traders and supply companies.

Suggested Citation

  • Keles, Dogan & Scelle, Jonathan & Paraschiv, Florentina & Fichtner, Wolf, 2016. "Extended forecast methods for day-ahead electricity spot prices applying artificial neural networks," Applied Energy, Elsevier, vol. 162(C), pages 218-230.
  • Handle: RePEc:eee:appene:v:162:y:2016:i:c:p:218-230
    DOI: 10.1016/j.apenergy.2015.09.087
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    References listed on IDEAS

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