Analysis And Prediction of Power Generation in India Using Machine Learning

Jayant Deswal , Nisar

Analysis and Prediction, Power Generation, Machine Learning

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.

Published Paper   E-Certificate

"Analysis And Prediction of Power Generation in India Using Machine Learning", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.6, Issue 7, page no.274 - 282, July-2021, Available :https://ijsdr.org/papers/IJSDR2107044.pdf

Volume 6 Issue 7, July-2021

Pages : 274 - 282

Paper Reg. ID: IJSDR_193530

Published Paper Id: IJSDR2107044

Downloads: 000347222

Research Area: Engineering

Country: -, -, -

Published Paper PDF: https://ijsdr.org/papers/IJSDR2107044

Published Paper URL: https://ijsdr.org/viewpaperforall?paper=IJSDR2107044

ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJSDR(IJ Publication) Janvi Wave

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