International Journal For Multidisciplinary Research

E-ISSN: 2582-2160   •   Impact Factor: 9.24

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

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Energy Consumption Prediction by using Machine Learning

Author(s) NITESH KUSHWAHA, AKHILESH A WAOO
Country india
Abstract Energy consumption prediction is a critical task in today's world, where sustainable energy management and resource optimization are of paramount importance. This abstract presents a machine learning-based approach for accurately predicting energy consumption. By leveraging historical data and various predictive features, our model aims to provide accurate forecasts, enabling better energy resource allocation and efficient energy management.
Keywords Building energy management system Machine learning Microsoft Azure Energy consumption Prediction
Field Engineering
Published In Volume 5, Issue 6, November-December 2023
Published On 2023-12-06
DOI https://doi.org/10.36948/ijfmr.2023.v05i06.9988
Short DOI https://doi.org/gs8ddm
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E-ISSN 2582-2160
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