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Electricity price forecasting

Katarzyna Maciejowska () and Rafał Weron ()

No HSC/19/01, HSC Research Reports from Hugo Steinhaus Center, Wroclaw University of Technology

Abstract: Electricity price forecasting (EPF) is an actively developing research field, which aims at predicting the spot and forward prices in wholesale electricity markets. Since day-ahead forecasting has gained the most attention, in this article we review the modeling approaches for short-term predictions, with a particular focus on variable selection.

Keywords: Forecasting; Electricity Spot Price; Day-ahead Market; Variable Selection; Regularization; Regression; Quantile Regression (search for similar items in EconPapers)
JEL-codes: C22 C32 C45 C51 C53 C70 L11 Q41 Q47 (search for similar items in EconPapers)
New Economics Papers: this item is included in nep-ene, nep-for and nep-ore
Date: 2019-02-07
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http://www.im.pwr.wroc.pl/~hugo/RePEc/wuu/wpaper/HSC_19_01.pdf Original version, 2019 (application/pdf)

Related works:
Working Paper: Electricity price forecasting (2018) Downloads
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Persistent link: https://EconPapers.repec.org/RePEc:wuu:wpaper:hsc1901

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