DocumentCode :
637130
Title :
A fast multiple appliance detection algorithm for non-intrusive load monitoring
Author :
Voon Siong Wong ; Yung Fei Wong ; Drummond, Tom ; Ahmet Sekercioglu, Y.
Author_Institution :
DIUS Comput., Melbourne, VIC, Australia
fYear :
2013
fDate :
16-19 April 2013
Firstpage :
80
Lastpage :
86
Abstract :
Non-intrusive Load Monitoring (NILM) is a hallmark of monitoring technologies. It provides appliance-level energy usage feedback with minimal sensor deployments. How-ever, existing NILM systems are not designed with embedded systems (e.g. Smart Meters) in mind. In this paper, we consider a Bayesian solution which efficiently computes the Log-Likelihood Ratio (LLR) of an appliance´s on/off state, then combines it with historical estimates to yield a new estimate for improved accuracy. The detection of multiple appliances is achieved through an iterative method which also deals with unidentified appliances. With minimal multiplication and division, the algorithm is computationally lightweight and can easily be implemented in embedded systems using low-power processors. Despite the simplicity, results show promising disaggregation performance.
Keywords :
Bayes methods; embedded systems; iterative methods; load forecasting; smart meters; Bayesian solution; LLR; NILM; appliance-level energy usage feedback; embedded systems; iterative method; log-likelihood ratio; low-power processors; multiple appliance detection; nonintrusive load monitoring; sensor deployments; smart meters; Estimation; Home appliances; Mathematical model; Power demand; Soldering; Steady-state; Transient analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence Applications In Smart Grid (CIASG), 2013 IEEE Symposium on
Conference_Location :
Singapore
ISSN :
2326-7682
Type :
conf
DOI :
10.1109/CIASG.2013.6611502
Filename :
6611502
Link To Document :
بازگشت