A novel framework for machine intelligence aided smarter energy management in residential scenario

Energy management systems can monitor, optimize, and control energy utilization in residential and commercial applications. Different solutions are available for achieving better energy management. Among the different solutions, load forecasting is considered as one of most preferred technique. It i...

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Bibliographic Details

Published in:	Measurement. Sensors Vol. 28; p. 100855
Main Authors:	Onteru, Rupesh Rayalu, Vuddanti, Sandeep
Format:	Journal Article
Language:	English
Published:	Elsevier Ltd 01-08-2023 Elsevier
Subjects:	Autoregressive integrated moving average Energy management Load forecasting Regression models Time series models Time series models Regression models Load forecasting Autoregressive integrated moving average Energy management
Online Access:	Get full text
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