A machine learning approach based on decision tree algorithm for classification of transient events in microgrid.
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| Title: | A machine learning approach based on decision tree algorithm for classification of transient events in microgrid. |
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| Authors: | Banerjee, Sannistha1 (AUTHOR) sb.15ee1504@phd.nitdgp.ac.in, Bhowmik, Partha Sarathee1 (AUTHOR) |
| Source: | Electrical Engineering. Aug2023, Vol. 105 Issue 4, p2083-2093. 11p. |
| 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: 164947776 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: A machine learning approach based on decision tree algorithm for classification of transient events in microgrid. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Banerjee%2C+Sannistha%22">Banerjee, Sannistha</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> sb.15ee1504@phd.nitdgp.ac.in</i><br /><searchLink fieldCode="AR" term="%22Bhowmik%2C+Partha+Sarathee%22">Bhowmik, Partha Sarathee</searchLink><relatesTo>1</relatesTo> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Electrical+Engineering%22">Electrical Engineering</searchLink>. Aug2023, Vol. 105 Issue 4, p2083-2093. 11p. |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=164947776 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s00202-023-01796-5 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 11 StartPage: 2083 Titles: – TitleFull: A machine learning approach based on decision tree algorithm for classification of transient events in microgrid. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Banerjee, Sannistha – PersonEntity: Name: NameFull: Bhowmik, Partha Sarathee IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 08 Text: Aug2023 Type: published Y: 2023 Identifiers: – Type: issn-print Value: 09487921 Numbering: – Type: volume Value: 105 – Type: issue Value: 4 Titles: – TitleFull: Electrical Engineering Type: main |
| ResultId | 1 |