Research on design strategies for high-rise office buildings based on building energy and explainable machine learning algorithms.
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| Title: | Research on design strategies for high-rise office buildings based on building energy and explainable machine learning algorithms. |
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| Authors: | Kong, W.1 (AUTHOR) 18306890869@163.com, Zhang, Z.2 (AUTHOR) 987383416@qq.com, Li, J.3 (AUTHOR) ljylijingyi@gmail.com |
| Source: | International Journal of Environmental Science & Technology (IJEST). Mar2026, Vol. 23 Issue 3, p1-24. 24p. |
| Database: | Environment Complete |
| FullText | Text: Availability: 0 |
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| Header | DbId: eih DbLabel: Environment Complete An: 190597117 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Research on design strategies for high-rise office buildings based on building energy and explainable machine learning algorithms. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Kong%2C+W%2E%22">Kong, W.</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> 18306890869@163.com</i><br /><searchLink fieldCode="AR" term="%22Zhang%2C+Z%2E%22">Zhang, Z.</searchLink><relatesTo>2</relatesTo> (AUTHOR)<i> 987383416@qq.com</i><br /><searchLink fieldCode="AR" term="%22Li%2C+J%2E%22">Li, J.</searchLink><relatesTo>3</relatesTo> (AUTHOR)<i> ljylijingyi@gmail.com</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Environmental+Science+%26+Technology+%28IJEST%29%22">International Journal of Environmental Science & Technology (IJEST)</searchLink>. Mar2026, Vol. 23 Issue 3, p1-24. 24p. |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=eih&AN=190597117 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s13762-025-06978-1 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 24 StartPage: 1 Titles: – TitleFull: Research on design strategies for high-rise office buildings based on building energy and explainable machine learning algorithms. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Kong, W. – PersonEntity: Name: NameFull: Zhang, Z. – PersonEntity: Name: NameFull: Li, J. IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 03 Text: Mar2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 17351472 Numbering: – Type: volume Value: 23 – Type: issue Value: 3 Titles: – TitleFull: International Journal of Environmental Science & Technology (IJEST) Type: main |
| ResultId | 1 |