Erratum to "Forecasting day-ahead electricity prices: A review of
state-of-the-art algorithms, best practices and an open-access
benchmark" [Appl. Energy 293 (2021) 116983]
J. Lago,
G. Marcjasz,
B. De Schutter, and
R. Weron,
"Erratum to "Forecasting day-ahead electricity prices: A review of
state-of-the-art algorithms, best practices and an open-access
benchmark" [Appl. Energy 293 (2021) 116983]," WORking papers in
Management Science (WORMS) WORMS/21/12, Department of Operations
Research and Business Intelligence, Wroclaw University of Science and
Technology, Wroclaw, Poland, 2021.
This erratum corrects the error metrics of the LEAR models for the
German (EPEX DE) market reported in Tables 2 and 3 of Lago et al.
(2021) Applied Energy 293, 116983.
- J. Lago, G. Marcjasz, B. De Schutter, and R. Weron, "Forecasting day-ahead
electricity prices: A review of state-of-the-art algorithms, best practices and
an open-access benchmark," Applied Energy, vol. 293,
July 2021. Article 116983. (online
paper
![[open access]](open_access.gif "open access")
, abstract, bibtex, tech. report
(pdf))
@techreport{LagMar:21-011e,
author={J. Lago and G. Marcjasz and B. {D}e Schutter and R. Weron},
title={Erratum to ``{Forecasting} day-ahead electricity prices: A review of
state-of-the-art algorithms, best practices and an open-access benchmark''
[{Appl.\ Energy} 293 (2021) 116983]},
type={WORking papers in Management Science (WORMS)},
number={WORMS/21/12},
institution={Department of Operations Research and Business Intelligence,
Wroclaw University of Science and Technology},
address={Wroclaw, Poland},
year={2021}
}
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