@inproceedings{dc48118daec04100b0fe5339ea3a6bf7,
title = "Appliance signature: Multi-modes electric appliances",
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 = "Appliance signature, Energy managemnet, Neural network, Smart grid, Smart metering",
author = "Chui, {Kwok Tai} and Hung, {Faan Hei} and Li, {Benjamin Yee Shing} and Tsang, {Kim Fung} and Chung, {Henry Shu Hung}",
note = "Publisher Copyright: {\textcopyright} 2014 IEEE.; 2014 IEEE International Conference on Consumer Electronics China, ICCE-C 2014 ; Conference date: 09-04-2014 Through 13-04-2014",
year = "2015",
month = feb,
day = "3",
doi = "10.1109/ICCE-China.2014.7029896",
language = "English",
series = "Proceedings of 2014 IEEE International Conference on Consumer Electronics - China, ICCE-C 2014",
booktitle = "Proceedings of 2014 IEEE International Conference on Consumer Electronics - China, ICCE-C 2014",
}
