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Machine learning based renewable energy generation and energy consumption forecasting

dc.contributor.authorTalwariya, Akash
dc.contributor.authorSingh, Pushpendra
dc.contributor.authorJobanputra, Jalpa H.
dc.contributor.authorKolhe, Mohan Lal
dc.date.accessioned2025-01-25T10:20:09Z
dc.date.available2025-01-25T10:20:09Z
dc.date.issued2023
dc.description.abstractRenewable 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 patternen_US
dc.identifier.citationAkash Talwariya, Pushpendra Singh, Jalpa H. Jobanputra & Mohan Lal Kolhe Taylor & Francis Group, LLC.en_US
dc.identifier.urihttp://hdl.handle.net/123456789/6223
dc.language.isoenen_US
dc.publisherTaylor & Francis Group, LLC.en_US
dc.subjectRenewable energy generation sourcesen_US
dc.titleMachine learning based renewable energy generation and energy consumption forecastingen_US
dc.typeArticleen_US

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