LiDAR-Referenced Inflow Wind Condition Estimation from SCADA Data Using a Deep Learning Model.
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| Title: | LiDAR-Referenced Inflow Wind Condition Estimation from SCADA Data Using a Deep Learning Model. |
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| Authors: | He, Shukai1 (AUTHOR), Wang, Hangyu1,2 (AUTHOR), Yan, Jie1,3 (AUTHOR) yanjie@ncepu.edu.cn, Wang, Kaibo1 (AUTHOR), Liu, Yongqian1,2 (AUTHOR), Yue, Jian2,3 (AUTHOR), Xu, Bo3 (AUTHOR), Li, Guoqing3 (AUTHOR) |
| Source: | Energies (19961073). Mar2026, Vol. 19 Issue 5, p1373. 22p. |
| Database: | Academic Search Ultimate |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: asn DbLabel: Academic Search Ultimate An: 192641098 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: LiDAR-Referenced Inflow Wind Condition Estimation from SCADA Data Using a Deep Learning Model. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22He%2C+Shukai%22">He, Shukai</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Wang%2C+Hangyu%22">Wang, Hangyu</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Yan%2C+Jie%22">Yan, Jie</searchLink><relatesTo>1,3</relatesTo> (AUTHOR)<i> yanjie@ncepu.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Wang%2C+Kaibo%22">Wang, Kaibo</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Liu%2C+Yongqian%22">Liu, Yongqian</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Yue%2C+Jian%22">Yue, Jian</searchLink><relatesTo>2,3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Xu%2C+Bo%22">Xu, Bo</searchLink><relatesTo>3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Li%2C+Guoqing%22">Li, Guoqing</searchLink><relatesTo>3</relatesTo> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Energies+%2819961073%29%22">Energies (19961073)</searchLink>. Mar2026, Vol. 19 Issue 5, p1373. 22p. |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=192641098 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.3390/en19051373 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 22 StartPage: 1373 Titles: – TitleFull: LiDAR-Referenced Inflow Wind Condition Estimation from SCADA Data Using a Deep Learning Model. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: He, Shukai – PersonEntity: Name: NameFull: Wang, Hangyu – PersonEntity: Name: NameFull: Yan, Jie – PersonEntity: Name: NameFull: Wang, Kaibo – PersonEntity: Name: NameFull: Liu, Yongqian – PersonEntity: Name: NameFull: Yue, Jian – PersonEntity: Name: NameFull: Xu, Bo – PersonEntity: Name: NameFull: Li, Guoqing IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 03 Text: Mar2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 19961073 Numbering: – Type: volume Value: 19 – Type: issue Value: 5 Titles: – TitleFull: Energies (19961073) Type: main |
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