Generation of Electric Power in India Using Machine Learning: A Review
Analysis and Prediction, Power Generation, Machine Learning
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.
"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
Volume 6
Issue 3,
March-2021
Pages : 683 - 687
Paper Reg. ID: IJSDR_193519
Published Paper Id: IJSDR2103113
Downloads: 000347036
Research Area: Engineering
Country: -, -, -
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