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.

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Original paper

• 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 ,  abstract,  bibtex,  tech. report (pdf))

BibTeX

@techreport{LagMar:21-011e,
   author      = {Lago, Jesus and Marcjasz, Grzegorz and De Schutter, Bart and
                  Weron, Rafa{\l}},
   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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