Title :
Data extraction for effective non-intrusive identification of residential power loads
Author :
Cole, Agnim I. ; Albicki, Alexander
Author_Institution :
Dept. of Electr. Eng., Rochester Univ., NY, USA
Abstract :
A completely effective technology for monitoring energy consumption and switching patterns of multiple electrical loads is desired yet not available. While parallel metering of multiple loads is possible, it is rarely cost effective and requires several installations and maintenance checks that disrupt a monitored business or residence. This report describes how non-intrusive monitoring methods for residences have been extended with several novel techniques to identify electrical loads and measure energy consumed by each
Keywords :
feature extraction; identification; load (electric); power consumption; power engineering computing; power system measurement; power system transients; FIR filters; current sampling; data extraction; effective nonintrusive identification; energy consumption; feature extraction; load identification algorithm; multiple electrical loads; power metering socket; residential power loads; switching patterns; voltage sampling; Computer vision; Data mining; Energy consumption; Feature extraction; Finite impulse response filter; Heat pumps; Monitoring; Reactive power; Steady-state; Wavelet transforms;
Conference_Titel :
Instrumentation and Measurement Technology Conference, 1998. IMTC/98. Conference Proceedings. IEEE
Conference_Location :
St. Paul, MN
Print_ISBN :
0-7803-4797-8
DOI :
10.1109/IMTC.1998.676838
