Machine learning based renewable energy generation and energy consumption forecasting
| dc.contributor.author | Talwariya, Akash | |
| dc.contributor.author | Singh, Pushpendra | |
| dc.contributor.author | Jobanputra, Jalpa H. | |
| dc.contributor.author | Kolhe, Mohan Lal | |
| dc.date.accessioned | 2025-01-25T10:20:09Z | |
| dc.date.available | 2025-01-25T10:20:09Z | |
| dc.date.issued | 2023 | |
| dc.description.abstract | Renewable energy generation sources are the need of the hour to mitigate the challenges of fossil fuels, environmental impacts, large transmission and dis- tribution losses, and variable consumption pattern | en_US |
| dc.identifier.citation | Akash Talwariya, Pushpendra Singh, Jalpa H. Jobanputra & Mohan Lal Kolhe Taylor & Francis Group, LLC. | en_US |
| dc.identifier.uri | http://hdl.handle.net/123456789/6223 | |
| dc.language.iso | en | en_US |
| dc.publisher | Taylor & Francis Group, LLC. | en_US |
| dc.subject | Renewable energy generation sources | en_US |
| dc.title | Machine learning based renewable energy generation and energy consumption forecasting | en_US |
| dc.type | Article | en_US |
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