%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 }