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Non-intrusive Appliance Monitoring Now: Effective Data, Generative Modelling and LETE

Authors:
Chi-Cheng Chuang
Today J. T. Sung
Gu Yuan Lin
Jimi Y. C. Wen
Ray-I Chang

Keywords: Energy Management System, Non-Intrusive Load Monitoring, Appliance Monitoring

Abstract:
Monitoring energy consumption at appliance level is a necessary condition for many energy efficient applications. In this paper, we have identified non-intrusive load monitoring (NILM) as a transitional technology, and competing NILM methods must be evaluated not only on performance, but also economical feasibility and user usability of now. Since in the event of maturing an IoT infrastructure, there would be no need for NILM. In this paper, we proposed a NILM for now, a complete solution with novel features: i) pre-processing for effective data, thus more accurate and faster training for user. ii) generative modelling for appliance configuration states, thus without the need for exhaustive training, and iii) LETE algorithm for a simple stateful enhancement. Experiments show the proposed methodology perform well even under only the most simplistic assumptions.

Pages: 81 to 86

Copyright: Copyright (c) IARIA, 2011

Publication date: May 22, 2011

Published in: conference

ISSN: 2308-412X

ISBN: 978-1-61208-136-6

Location: Venice/Mestre, Italy

Dates: from May 22, 2011 to May 27, 2011