Paper Title

Generation of Electric Power in India Using Machine Learning: A Review

Authors

Jayant Deswal , Nisar

Keywords

Analysis and Prediction, Power Generation, Machine Learning

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.

How To Cite

"Generation of Electric Power in India Using Machine Learning: A Review", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.6, Issue 3, page no.683 - 687, March-2021, Available :https://ijsdr.org/papers/IJSDR2103113.pdf

Issue

Volume 6 Issue 3, March-2021

Pages : 683 - 687

Other Publication Details

Paper Reg. ID: IJSDR_193519

Published Paper Id: IJSDR2103113

Downloads: 000347036

Research Area: Engineering

Country: -, -, -

Published Paper PDF: https://ijsdr.org/papers/IJSDR2103113

Published Paper URL: https://ijsdr.org/viewpaperforall?paper=IJSDR2103113

About Publisher

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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