INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15
Generation of Electric Power in India Using Machine Learning: A Review
Authors Name:
Jayant Deswal
, Nisar
Unique Id:
IJSDR2103113
Published In:
Volume 6 Issue 3, March-2021
Abstract:
With the rapid growth of the global economy, more people are living in urban areas than in rural areas, which has led to greater growth in energy demand, especially in developing countries. The recognition that there is a shortage of available fuel sources for electricity generation and climate change due to carbon emissions has strengthened concerns about energy conservation and global protection. Climate change, electricity consumption, and foreign oil prices have become a global focus, among other recent issues. Sustainable energy sources are currently the fastest growing market for electricity mixing and offer significant opportunities to address concerns about energy efficiency and sustainability. Both countries are striving to meet the Kyoto Protocol's goal of reducing greenhouse gas emissions by focusing on their energy policies for clean energy while others have become more common in energy production. The energy we are currently using is based on unlimited use not only in global face-to-face calculations, but also in the process of converting energy into tangible and intangible waste that has a significant impact on the global environment. To ensure safe electricity supply, improve energy efficiency, reduce dependence on fossil fuels and reduce greenhouse gas emissions, the rise in clean energy is now a major challenge to our economic and environmental growth. This paper review of power generation in India using machine learning.
Keywords:
Analysis and Prediction, Power Generation, Machine Learning
Cite Article:
"Generation of Electric Power in India Using Machine Learning: A Review", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.6, Issue 3, page no.683 - 687, March-2021, Available :http://www.ijsdr.org/papers/IJSDR2103113.pdf
Downloads:
000346980
Publication Details:
Published Paper ID: IJSDR2103113
Registration ID:193519
Published In: Volume 6 Issue 3, March-2021
DOI (Digital Object Identifier):
Page No: 683 - 687
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631
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