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

Volume

2

fYear

1998

Firstpage

812

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Instrumentation and Measurement Technology Conference, 1998. IMTC/98. Conference Proceedings. IEEE

Conference_Location

St. Paul, MN

ISSN

1091-5281

Print_ISBN

0-7803-4797-8

Type

conf

DOI

10.1109/IMTC.1998.676838

Filename

676838