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]


Reference:

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.

Abstract:

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.

Downloads:


Original paper:


Bibtex entry:

@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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