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