Electricity price forecasting
Katarzyna Maciejowska () and
Rafał Weron ()
No HSC/19/01, HSC Research Reports from Hugo Steinhaus Center, Wroclaw University of Technology
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
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http://www.im.pwr.wroc.pl/~hugo/RePEc/wuu/wpaper/HSC_19_01.pdf Original version, 2019 (application/pdf)
Working Paper: Electricity price forecasting (2018)
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Persistent link: https://EconPapers.repec.org/RePEc:wuu:wpaper:hsc1901
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