Non-intrusive load monitoring approaches for disaggregated energy sensing: a survey

Zoha, A., Gluhak, A., Imran, M. A. and Rajasegarar, S. (2012) Non-intrusive load monitoring approaches for disaggregated energy sensing: a survey. Sensors, 12(12), pp. 16838-16866. (doi:10.3390/s121216838) (PMID:23223081) (PMCID:PMC3571813)

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Abstract

Appliance Load Monitoring (ALM) is essential for energy management solutions, allowing them to obtain appliance-specific energy consumption statistics that can further be used to devise load scheduling strategies for optimal energy utilization. Fine-grained energy monitoring can be achieved by deploying smart power outlets on every device of interest; however it incurs extra hardware cost and installation complexity. Non-Intrusive Load Monitoring (NILM) is an attractive method for energy disaggregation, as it can discern devices from the aggregated data acquired from a single point of measurement. This paper provides a comprehensive overview of NILM system and its associated methods and techniques used for disaggregated energy sensing. We review the state-of-the art load signatures and disaggregation algorithms used for appliance recognition and highlight challenges and future research directions.

Item Type:Articles
Additional Information:We acknowledge the support from the REDUCE project grant (No. EP/I000232/1) under the Digital Economy Programme run by Research Councils UK—A cross council initiative led by EPSRC and contributed to by AHRC, ESRC, and MRC.
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Imran, Professor Muhammad
Authors: Zoha, A., Gluhak, A., Imran, M. A., and Rajasegarar, S.
College/School:College of Science and Engineering > School of Engineering
Journal Name:Sensors
Publisher:MDPI
ISSN:1424-8220
ISSN (Online):1424-8220
Copyright Holders:Copyright © 2012 The Authors
First Published:First published in Sensors 12(12): 16838-16866
Publisher Policy:Reproduced under a Creative Commons License

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