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International Journal of Innovative Research in Electrical, Electronics, Instrumentation and Control Engineering
International Journal of Innovative Research in Electrical, Electronics, Instrumentation and Control Engineering A monthly Peer-reviewed & Refereed journal
ISSN Online 2321-2004ISSN Print 2321-5526Since 2013
IJIREEICE meets the suggestive parameters outlined in the latest University Grants Commission (UGC) for peer-reviewed journals, ensuring high standards of research integrity, publication ethics, and academic excellence.
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Machine Learning Based Prediction of Energy Consumption

Sayan Chatterjee, Saruk Chand Sk, Manish Kumar Singh, Judhajit Sanyal

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Abstract: The prediction of energy consumption on a national or regional scale has become extremely important to researchers in recent years, especially in the light of the rate of depletion of primary energy sources combined with the rate of increase in the demand of the same resources on a global scale. The present paper deals with a simple machine learning based approach, using regression, for accurate prediction of energy consumption using the fossil fuel and energy consumption data of India as a representative country.

Keywords: Energy Consumption, National Scale, Machine Learning, Regression, Prediction, Consumption Data

How to Cite:

[1] Sayan Chatterjee, Saruk Chand Sk, Manish Kumar Singh, Judhajit Sanyal, β€œMachine Learning Based Prediction of Energy Consumption,” International Journal of Innovative Research in Electrical, Electronics, Instrumentation and Control Engineering (IJIREEICE), DOI: 10.17148/IJIREEICE.2019.7506

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