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INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH
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ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15

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Paper Title: Analysis And Prediction of Power Generation in India Using Machine Learning
Authors Name: Jayant Deswal , Nisar
Unique Id: IJSDR2107044
Published In: Volume 6 Issue 7, July-2021
Abstract: Investment in alternative energy sources should be made in order to decrease India's dependence on imported oil in order to attain energy security. In addition, India's annual energy supply is much lower than that of underdeveloped nations. However, because of the fast economic expansion and the potential for rapid industrial development, it is anticipated that the same would increase dramatically in the future. Sustainable energy has the ability to play a significant role in the industrialization and development of a country's economy. The ongoing industrial and economic growth is resulting in a substantial rise in overall energy consumption. In addition to boosting power supplies, sustainable energy will aid India in its efforts to combat climate change and mitigate global warming. In addition, as a consequence of higher returns on carbon offset debt under pure clean management, the long-term viability of alternative energy sources is enhanced. Other sustainable energy options will offer sustainable energy, enabling the nation to become less reliant on politically sensitive fuel imports while also decreasing greenhouse gases emissions. In order to expedite the growth of domestic energy supply, fluctuations in oil prices caused by global warming need the creation of a comprehensive, integrated energy plan. This paper explore analysis and prediction for Power Generation through Machine Learning.
Keywords: Analysis and Prediction, Power Generation, Machine Learning
Cite Article: "Analysis And Prediction of Power Generation in India Using Machine Learning", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.6, Issue 7, page no.274 - 282, July-2021, Available :http://www.ijsdr.org/papers/IJSDR2107044.pdf
Downloads: 000337070
Publication Details: Published Paper ID: IJSDR2107044
Registration ID:193530
Published In: Volume 6 Issue 7, July-2021
DOI (Digital Object Identifier):
Page No: 274 - 282
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631

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