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Study and analysis of Renewal energy through ML Algorithms

Deepak Saket1 Saket1

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Paper Contents

Abstract

The paper highlights the challenges and opportunities in India's energy landscape, emphasizing the need to reduce reliance on imported oil for enhanced energy security. Despite a lower per capita electricity consumption compared to other developing nations, India anticipates significant growth in the future, impacting industrialization and overall development. The expanding market for carbon fuels is expected to surge due to industrial development and increased manufacturing. To address climate change, India aims to augment its electricity supplies with green energies, promoting sustainability and reducing carbon dioxide emissions. The research explores the demand for renewable energy through time series data analysis, utilizing Python and machine learning techniques, particularly linear regression, to visualize and predict future energy usage scenarios. The study aims to provide insights into the potential of renewable energy in India for sustainable development.

Copyright

Copyright © 2023 Deepak Saket1. This is an open access article distributed under the Creative Commons Attribution License.

Paper Details
Paper ID: IJPREMS31200008223
Publish Date: 2023-12-25 08:49:26
ISSN: 2321-9653
Publisher: ijprems
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