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A HYBRID APPROACH USING DEEP LEARNING AND STATISTICAL METHODS FOR ACCURATE FORECASTING OF SOLAR POWER GENERATION
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Abstract
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ORDINARY APPLICATION
Published
Filed on 17 June 2023
Patent Information
| Application ID | 202321041365 |
| Date of Application | 17/06/2023 |
Documents
| Name | Date |
|---|---|
| Abstact.jpg | 31/08/2023 |
| 202321041365-COMPLETE SPECIFICATION [17-06-2023(online)].pdf | 17/06/2023 |
| 202321041365-DECLARATION OF INVENTORSHIP (FORM 5) [17-06-2023(online)].pdf | 17/06/2023 |
| 202321041365-DRAWINGS [17-06-2023(online)].pdf | 17/06/2023 |
| 202321041365-FORM 1 [17-06-2023(online)].pdf | 17/06/2023 |
| 202321041365-FORM-9 [17-06-2023(online)].pdf | 17/06/2023 |
| 202321041365-REQUEST FOR EARLY PUBLICATION(FORM-9) [17-06-2023(online)].pdf | 17/06/2023 |
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