Title
Non-intrusive load identification for smart outlets
Abstract
An increasing interest in energy-efficiency combined with the decreasing cost of embedded networked sensors is lowering the cost of outlet-level metering. If these trends continue, new buildings in the near future will be able to install “smart” outlets, which monitor and transmit an outlets power usage in real time, for nearly the same cost as conventional outlets. One problem with the pervasive deployment of smart outlets is that users must currently identify the specific device plugged into each meter, and then manually update the outlets meta-data in software whenever a new device is plugged into the outlet. Correct meta-data is important in both interpreting historical outlet energy data and using the data for building management. To address this problem, we propose Non-Intrusive Load Identification (NILI), which automatically identifies the device attached to a smart outlet without any human intervention. In particular, in our approach to NILI, we identify an intuitive and simple-to-compute set of features from time-series energy data and then employ well-known classifiers. Our results achieve accuracy of over 90% across 15 device types on outlet-level energy traces collected from multiple real homes.
Year
DOI
Venue
2014
10.1109/SmartGridComm.2014.7007704
Smart Grid Communications
Keywords
Field
DocType
building management systems,meta data,power engineering computing,power system identification,smart meters,time series,NILI,building management,historical outlet energy data,metadata,non-intrusive load identification,outlet-level energy traces,outlet-level metering,smart outlets,time-series energy data
Software deployment,Computer network,Real-time computing,Software,Building management,Metre (music),Engineering,Metering mode,Power usage
Conference
ISSN
Citations 
PageRank 
2373-6836
5
0.54
References 
Authors
12
4
Name
Order
Citations
PageRank
Sean Kenneth Barker11287.47
Mohamed Musthag250.54
David E. Irwin389998.12
Prashant J. Shenoy46386521.30