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.
%0 Journal Article
%1 zoha2012nonintrusive
%A Zoha, Ahmed
%A Gluhak, Alexander
%A Imran, Muhammad Ali
%A Rajasegarar, Sutharshan
%D 2012
%J Sensors
%K consumption devices disaggregation energy load power
%N 12
%P 16838--16866
%R 10.3390/s121216838
%T Non-Intrusive Load Monitoring Approaches for Disaggregated Energy Sensing: A Survey
%U http://www.mdpi.com/1424-8220/12/12/16838
%V 12
%X 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.
@article{zoha2012nonintrusive,
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.},
added-at = {2017-05-17T08:15:24.000+0200},
author = {Zoha, Ahmed and Gluhak, Alexander and Imran, Muhammad Ali and Rajasegarar, Sutharshan},
biburl = {https://www.bibsonomy.org/bibtex/2c2042a491fca993f89845d8b05eb6ee6/hotho},
doi = {10.3390/s121216838},
interhash = {19efec8734cd19a073b3b201bf7446ad},
intrahash = {c2042a491fca993f89845d8b05eb6ee6},
issn = {1424-8220},
journal = {Sensors},
keywords = {consumption devices disaggregation energy load power},
number = 12,
pages = {16838--16866},
pubmedid = {23223081},
timestamp = {2017-05-17T08:15:24.000+0200},
title = {Non-Intrusive Load Monitoring Approaches for Disaggregated Energy Sensing: A Survey},
url = {http://www.mdpi.com/1424-8220/12/12/16838},
volume = 12,
year = 2012
}