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

Dogan Keles, Jonathan Scelle, Florentina Paraschiv and Wolf Fichtner

Applied Energy, 2016, vol. 162, issue C, 218-230

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.

Keywords: Electricity prices; Day-ahead-market; Price forecasting; Artificial neuronal network; Input selection (search for similar items in EconPapers)
Date: 2016
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Citations: View citations in EconPapers (105)

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DOI: 10.1016/j.apenergy.2015.09.087

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