DocumentCode :
254827
Title :
Appliance signature: Multi-modes electric appliances
Author :
Kwok Tai Chui ; Faan Hei Hung ; Li, B.Y.S. ; Kim Fung Tsang ; Chung, H.S.-H.
Author_Institution :
Dept. of Electron. Eng., City Univ. of Hong Kong, Hong Kong, China
fYear :
2014
fDate :
9-13 April 2014
Firstpage :
1
Lastpage :
3
Abstract :
Smart grid has one of the top concerns in recent decade attributable to deteriorating environment. Appliance signatures possessed by electric appliances can be utilized for uniquely classifying between each others. In this paper, a neural network based appliance signature is presented. It presents the performance evaluation with and without separating the operation modes of electric appliance into distinct classes. Neural network has been utilized for the study. Results show that introducing multi-modes electric appliances into multi-class would not affect the performance of appliance signature.
Keywords :
neural nets; power apparatus; power engineering computing; smart power grids; multimode electric appliance signature; neural network; smart grid; Accuracy; Data models; Feature extraction; Home appliances; Neural networks; Performance evaluation; Smart grids; Appliance signature; Energy managemnet; Neural network; Smart grid; Smart metering;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Consumer Electronics - China, 2014 IEEE International Conference on
Conference_Location :
Shenzhen
Type :
conf
DOI :
10.1109/ICCE-China.2014.7029896
Filename :
7029896
Link To Document :
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