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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM46295
Volume:
9 |
4 |
Apr 2025
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
Karnataka, a rapidly developing state in India, faces significant changes in energy demand due to population growth, urbanization, and industrialization. This study analyzes Karnataka’s energy consumption patterns, particularly focusing on the Bangalore Electricity Supply Company Limited (BESCOM) area, and explores the application of Machine Learning (ML) for classification. It examines historical data, projections, and the impact of initiatives like the Gruha Jyothi Scheme, which provides free electricity to eligible households. The research highlights the need for accurate energy forecasting and efficient management to address consumption trends and ensure sustainable energy distribution. ML methods offer promising tools for predicting consumption, identifying patterns, and improving operational efficiency within the energy sector. The Gruha Jyothi scheme offers up to 200 units of free electricity each month for eligible households. II.
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Publication Date
4/28/2025
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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