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Forecasting day-ahead electricity prices: A review of state-of-the-art

Publication: Forecasting day-ahead electricity prices: A review of state-of-the-art algorithms, best practices and an open-access benchmark. Published Aug 18, 2020.

arxiv.orgPublished Aug 18, 2020
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Overview

Publication: Forecasting day-ahead electricity prices: A review of state-of-the-art algorithms, best practices and an open-access benchmark. Published Aug 18, 2020.

Publication information

Publication title
Forecasting day-ahead electricity prices: A review of state-of-the-art algorithms, best practices and an open-access benchmark
Authors
Jesus Lago, Grzegorz Marcjasz, Bart De Schutter, Rafał Weron
Published
Aug 18, 2020
Last publication revision
Dec 21, 2020
Venue / journal
Applied Energy (2021) vol. 293, art. num. 116983
Subject areas
stat.AP, cs.LG, q-fin.ST
DOI
10.1016/j.apenergy.2021.116983 ↗
Publication source
arxiv.org · abs/2008.08004v2 ↗

Source: arXiv API · observed Oct 11, 2026.

Source links & provenance

https://arxiv.org/abs/2008.08004 ↗

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GitHub stars
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Code license
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