Detecting System Fault/Cyberattack within a Photovoltaic System Connected to the Grid: A Neural Network-Based Solution.
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| Title: | Detecting System Fault/Cyberattack within a Photovoltaic System Connected to the Grid: A Neural Network-Based Solution. |
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| Authors: | Gaggero, Giovanni Battista1, giovanni.gaggero@edu.unige.it, Rossi, Mansueto1, Girdinio, Paola1, Marchese, Mario1, mario.marchese@unige.it |
| Source: | Journal of Sensor & Actuator Networks; Jun2020, Vol. 9 Issue 2, p20-20, 1p |
| Database: | Applied Science & Technology Source |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: aci DbLabel: Applied Science & Technology Source An: 144481505 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.3390/jsan9020020 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 1 StartPage: 20 Titles: – TitleFull: Detecting System Fault/Cyberattack within a Photovoltaic System Connected to the Grid: A Neural Network-Based Solution. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Gaggero, Giovanni Battista – PersonEntity: Name: NameFull: Rossi, Mansueto – PersonEntity: Name: NameFull: Girdinio, Paola – PersonEntity: Name: NameFull: Marchese, Mario IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 06 Text: Jun2020 Type: published Y: 2020 Identifiers: – Type: issn-print Value: 22242708 Numbering: – Type: volume Value: 9 – Type: issue Value: 2 Titles: – TitleFull: Journal of Sensor & Actuator Networks Type: main |
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