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An empirical benchmark of deep time-series models for smart meter energy forecasting
ORCID iD: 0000-0002-1951-7515
ORCID iD: 0000-0001-9888-303X
ORCID iD: 0000-0003-3636-081X
ORCID iD: 0000-0003-4761-8601
2026 (English)In: Energy and AI, E-ISSN 2666-5468, Vol. 25, p. 100870-100870, article id 100870Article in journal (Refereed) Published
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2026. Vol. 25, p. 100870-100870, article id 100870
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Engineering and Technology
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URN: urn:nbn:se:liu:diva-227077DOI: 10.1016/j.egyai.2026.100870OAI: oai:DiVA.org:liu-227077DiVA, id: diva2:2094682
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Swedish Energy Agency, P2024-01187Available from: 2026-08-24 Created: 2026-08-24 Last updated: 2026-08-24

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Kavoosighafi, BehnazEidenskog, MariaGlad, WiktoriaVrotsou, Katerina
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