Conference
Assessing the Feasibility of Renewable Energy Break-Even in India Using ARIMA and Polynomial Regression Models
| Τίτλος: | Assessing the Feasibility of Renewable Energy Break-Even in India Using ARIMA and Polynomial Regression Models |
|---|---|
| Συγγραφείς: | Roy, Piya, Chakrabarty, Dipanwita, Chatterjee, Debashis |
| Πηγή: | 2025 International Conference on Artificial Intelligence for Computing, Astronomy and Renewable Energy (AICARE) Artificial Intelligence for Computing, Astronomy and Renewable Energy (AICARE), 2025 International Conference on. :1-5 Nov, 2025 |
| Relation: | 2025 International Conference on Artificial Intelligence for Computing, Astronomy and Renewable Energy (AICARE) |
| Βάση Δεδομένων: | IEEE Xplore Digital Library |
| FullText | Text: Availability: 0 |
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| Header | DbId: edseee DbLabel: IEEE Xplore Digital Library An: edseee.11402817 RelevancyScore: 1129 AccessLevel: 2 PubType: Conference PubTypeId: conference PreciseRelevancyScore: 1129.44140625 |
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| Items | – Name: Title Label: Title Group: Ti Data: Assessing the Feasibility of Renewable Energy Break-Even in India Using ARIMA and Polynomial Regression Models – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Roy%2C+Piya%22">Roy, Piya</searchLink><br /><searchLink fieldCode="AR" term="%22Chakrabarty%2C+Dipanwita%22">Chakrabarty, Dipanwita</searchLink><br /><searchLink fieldCode="AR" term="%22Chatterjee%2C+Debashis%22">Chatterjee, Debashis</searchLink> – Name: TitleSource Label: Source Group: Src Data: 2025 International Conference on Artificial Intelligence for Computing, Astronomy and Renewable Energy (AICARE) Artificial Intelligence for Computing, Astronomy and Renewable Energy (AICARE), 2025 International Conference on. :1-5 Nov, 2025 – Name: NoteTitleSource Label: Relation Group: SrcInfo Data: 2025 International Conference on Artificial Intelligence for Computing, Astronomy and Renewable Energy (AICARE) |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edseee&AN=edseee.11402817 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1109/AICARE66005.2025.11402817 PhysicalDescription: Pagination: PageCount: 5 StartPage: 1 Titles: – TitleFull: Assessing the Feasibility of Renewable Energy Break-Even in India Using ARIMA and Polynomial Regression Models Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Roy, Piya – PersonEntity: Name: NameFull: Chakrabarty, Dipanwita – PersonEntity: Name: NameFull: Chatterjee, Debashis IsPartOfRelationships: – BibEntity: Dates: – D: 21 M: 11 Type: published Y: 2025 Identifiers: – Type: isbn-print Value: 9798331553098 – Type: isbn-print Value: 9798331553104 – Type: issn-locals Value: edseee.IEEEConferenc Titles: – TitleFull: 2025 International Conference on Artificial Intelligence for Computing, Astronomy and Renewable Energy (AICARE), Artificial Intelligence for Computing, Astronomy and Renewable Energy (AICARE), 2025 International Conference on Type: main |
| ResultId | 1 |