Journal
SENSORS
Volume 12, Issue 12, Pages 16838-16866Publisher
MDPI
DOI: 10.3390/s121216838
Keywords
Non-Intrusive Load Monitoring (NILM); Intrusive Load Monitoring (ILM); disaggregation algorithms; load signatures; energy management
Funding
- REDUCE project grant under the Digital Economy Programme run by Research Councils UK [EP/I000232/1]
- EPSRC [EP/I000232/1] Funding Source: UKRI
- Engineering and Physical Sciences Research Council [EP/I000232/1] Funding Source: researchfish
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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.
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