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Non-Intrusive Load Monitoring Approaches for Disaggregated Energy Sensing: A Survey
Center for Communication Systems Research, University of Surrey, Guildford, GU2 7XH, UK
Department of Electrical and Electronic Engineering, University of Melbourne, Melbourne,VIC 3010, Australia
* Author to whom correspondence should be addressed.
Received: 15 October 2012; in revised form: 29 November 2012 / Accepted: 29 November 2012 / Published: 6 December 2012
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
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Cite This Article
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.
Zoha A, Gluhak A, Imran MA, Rajasegarar S. Non-Intrusive Load Monitoring Approaches for Disaggregated Energy Sensing: A Survey. Sensors. 2012; 12(12):16838-16866.
Zoha, Ahmed; Gluhak, Alexander; Imran, Muhammad A.; Rajasegarar, Sutharshan. 2012. "Non-Intrusive Load Monitoring Approaches for Disaggregated Energy Sensing: A Survey." Sensors 12, no. 12: 16838-16866.