Title :
An online load identification algorithm for non-intrusive load monitoring in homes
Author :
Xiaojing Wang ; Dongmei Lei ; Jing Yong ; Liqiang Zeng ; West, Sam
Author_Institution :
State Key Lab. of Power Transm. Equip. & Syst. Security & New Technol., Chongqing Univ., Chongqing, China
Abstract :
Non-intrusive load monitoring (NILM) systems, employed at the utility-customer interface point, provide real-time power usage data to the grid and present real-time per-appliance price data to consumers. Such information will allow consumers to participate in the electricity market, resulting in energy conservation, demand reduction and other benefits. For these reasons, NILM has become an active area of research. In the current paper, a new algorithm is proposed in which both state-switching event identification and load recognition are included. Furthermore, a statistical variable, i.e. cross correlation coefficient, and a statistical method, i.e. crossed index weight determination method, are employed. The key components of the new algorithm, including basic concepts of signal signatures, structure and methodology of the algorithm, are presented. This algorithm is verified by the experiments to identify hybrid home appliances in the laboratory. The experimental results show that the introduction of cross correlation coefficients reveals more information, and that this new algorithm offers minimal computational burden with similar performance to other NILM algorithms reported as well.
Keywords :
correlation methods; demand side management; domestic appliances; energy conservation; power consumption; power grids; power markets; power system measurement; real-time systems; statistical analysis; NILM system; cross-correlation coefficient; crossed index weight determination method; demand reduction; electricity market; energy conservation; hybrid home appliances; load recognition; nonintrusive load monitoring systems; online load identification algorithm; power grid; real-time per-appliance price data; real-time power usage data; signal signatures; state-switching event identification; statistical method; statistical variable; utility-customer interface point; Harmonic analysis; Home appliances; Portable computers; Steady-state; Switches; Training; Transient analysis;
Conference_Titel :
Intelligent Sensors, Sensor Networks and Information Processing, 2013 IEEE Eighth International Conference on
Conference_Location :
Melbourne, VIC
Print_ISBN :
978-1-4673-5499-8
DOI :
10.1109/ISSNIP.2013.6529753