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Sensors 2012, 12(12), 16838-16866; doi:10.3390/s121216838
Article

Non-Intrusive Load Monitoring Approaches for Disaggregated Energy Sensing: A Survey

1,* , 1
, 1
 and 2
1 Center for Communication Systems Research, University of Surrey, Guildford, GU2 7XH, UK 2 Department of Electrical and Electronic Engineering, University of Melbourne, Melbourne,VIC 3010, Australia
* Author to whom correspondence should be addressed.
Received: 15 October 2012 / Revised: 29 November 2012 / Accepted: 29 November 2012 / Published: 6 December 2012
(This article belongs to the Special Issue Ubiquitous Sensing)
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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.
Keywords: Non-Intrusive Load Monitoring (NILM); Intrusive Load Monitoring (ILM); disaggregation algorithms; load signatures; energy management Non-Intrusive Load Monitoring (NILM); Intrusive Load Monitoring (ILM); disaggregation algorithms; load signatures; energy management
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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MDPI and ACS Style

Zoha, A.; Gluhak, A.; Imran, M.A.; Rajasegarar, S. Non-Intrusive Load Monitoring Approaches for Disaggregated Energy Sensing: A Survey. Sensors 2012, 12, 16838-16866.

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