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
Cite This	Energy Consumption Prediction by using Machine Learning - NITESH KUSHWAHA, AKHILESH A WAOO - IJFMR Volume 5, Issue 6, November-December 2023. DOI 10.36948/ijfmr.2023.v05i06.9988
DOI	https://doi.org/10.36948/ijfmr.2023.v05i06.9988
Short DOI	https://doi.org/gs8ddm

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International Journal For Multidisciplinary Research