Author Correction: Learning model combined with data clustering and dimensionality reduction for short-term electricity load forecasting.
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| Title: | Author Correction: Learning model combined with data clustering and dimensionality reduction for short-term electricity load forecasting. |
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| Authors: | Bae HJ; Graduate School of Data Science, Seoul National University of Science and Technology, Seoul, South Korea., Park JS; Graduate School of Data Science, Seoul National University of Science and Technology, Seoul, South Korea., Choi JH; Department of Industrial Engineering, Seoul National University of Science and Technology, Seoul, South Korea., Kwon HY; Department of Industrial Engineering/Graduate School of Data Science/Research Center for Electrical and Information Science, Seoul National University of Science and Technology, Seoul, South Korea. hyukyoon.kwon@seoultech.ac.kr. |
| Source: | Scientific reports [Sci Rep] 2025 May 01; Vol. 15 (1), pp. 15301. Date of Electronic Publication: 2025 May 01. |
| Publication Type: | Published Erratum |
| Journal Info: | Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: MEDLINE; PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 40312503 AccessLevel: 2 PubTypeId: unknown PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Author Correction: Learning model combined with data clustering and dimensionality reduction for short-term electricity load forecasting. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Bae+HJ%22">Bae HJ</searchLink>; Graduate School of Data Science, Seoul National University of Science and Technology, Seoul, South Korea.<br /><searchLink fieldCode="AU" term="%22Park+JS%22">Park JS</searchLink>; Graduate School of Data Science, Seoul National University of Science and Technology, Seoul, South Korea.<br /><searchLink fieldCode="AU" term="%22Choi+JH%22">Choi JH</searchLink>; Department of Industrial Engineering, Seoul National University of Science and Technology, Seoul, South Korea.<br /><searchLink fieldCode="AU" term="%22Kwon+HY%22">Kwon HY</searchLink>; Department of Industrial Engineering/Graduate School of Data Science/Research Center for Electrical and Information Science, Seoul National University of Science and Technology, Seoul, South Korea. hyukyoon.kwon@seoultech.ac.kr. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22101563288%22">Scientific reports</searchLink> [Sci Rep] 2025 May 01; Vol. 15 (1), pp. 15301. <i>Date of Electronic Publication: </i>2025 May 01. – Name: TypePub Label: Publication Type Group: TypPub Data: Published Erratum – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Nature+Publishing+Group%22">Nature Publishing Group </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>101563288 <i>Publication Model: </i>Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>2045-2322 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2220452322%22">20452322 </searchLink><i>NLM ISO Abbreviation: </i>Sci Rep <i>Subsets: </i>MEDLINE; PubMed not MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=40312503 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1038/s41598-025-98341-0 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 15301 Titles: – TitleFull: Author Correction: Learning model combined with data clustering and dimensionality reduction for short-term electricity load forecasting. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Bae HJ – PersonEntity: Name: NameFull: Park JS – PersonEntity: Name: NameFull: Choi JH – PersonEntity: Name: NameFull: Kwon HY IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 05 Text: 2025 May 01 Type: published Y: 2025 Identifiers: – Type: issn-electronic Value: 2045-2322 Numbering: – Type: volume Value: 15 – Type: issue Value: 1 Titles: – TitleFull: Scientific reports Type: main |
| ResultId | 1 |
