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Prediction and explanation of the formation of the Spanish day-ahead electricity price through machine learning regression

Guzmán Díaz, José Coto and Javier Gómez-Aleixandre

Applied Energy, 2019, vol. 239, issue C, 610-625

Abstract: Until recently, detailed information on the power system state to estimate future spot prices by regression analysis was generally restricted to qualified parties. However, to ensure transparency in operation, the Spanish Transmission System Operator has launched an informative web in which a sizable amount of real-time energy-related data can be consulted through a graphical interface. Undoubtedly, this provides the opportunity for non-qualified parties to develop applications and algorithms in which price forecast and maybe knowledge about how price is determined are required.

Keywords: Linear regression; Principal components; Quantile regression; Gradient boosting regression; Day-ahead electricity price (search for similar items in EconPapers)
Date: 2019
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DOI: 10.1016/j.apenergy.2019.01.213

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