Appliance signature: Multi-modes electric appliances

Kwok Tai Chui; Faan Hei Hung; Benjamin Yee Shing Li; Kim Fung Tsang; Henry Shu Hung Chung

doi:10.1109/ICCE-China.2014.7029896

Appliance signature: Multi-modes electric appliances

Kwok Tai Chui
, Faan Hei Hung
, Benjamin Yee Shing Li
, Kim Fung Tsang
, Henry Shu Hung Chung

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

3 Citations (Scopus)

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.

Original language	English
Title of host publication	Proceedings of 2014 IEEE International Conference on Consumer Electronics - China, ICCE-C 2014
ISBN (Electronic)	9781479947560
DOIs	https://doi.org/10.1109/ICCE-China.2014.7029896
Publication status	Published - 3 Feb 2015
Externally published	Yes
Event	2014 IEEE International Conference on Consumer Electronics China, ICCE-C 2014 - Shenzhen, China Duration: 9 Apr 2014 → 13 Apr 2014

Publication series

Name	Proceedings of 2014 IEEE International Conference on Consumer Electronics - China, ICCE-C 2014

Conference

Conference	2014 IEEE International Conference on Consumer Electronics China, ICCE-C 2014
Country/Territory	China
City	Shenzhen
Period	9/04/14 → 13/04/14

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

Appliance signature
Energy managemnet
Neural network
Smart grid
Smart metering

Access to Document

10.1109/ICCE-China.2014.7029896

Cite this

Chui, K. T., Hung, F. H., Li, B. Y. S., Tsang, K. F., & Chung, H. S. H. (2015). Appliance signature: Multi-modes electric appliances. In Proceedings of 2014 IEEE International Conference on Consumer Electronics - China, ICCE-C 2014 Article 7029896 (Proceedings of 2014 IEEE International Conference on Consumer Electronics - China, ICCE-C 2014). https://doi.org/10.1109/ICCE-China.2014.7029896

@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",

}

Chui, KT, Hung, FH, Li, BYS, Tsang, KF & Chung, HSH 2015, Appliance signature: Multi-modes electric appliances. in Proceedings of 2014 IEEE International Conference on Consumer Electronics - China, ICCE-C 2014., 7029896, Proceedings of 2014 IEEE International Conference on Consumer Electronics - China, ICCE-C 2014, 2014 IEEE International Conference on Consumer Electronics China, ICCE-C 2014, Shenzhen, China, 9/04/14. https://doi.org/10.1109/ICCE-China.2014.7029896

Appliance signature: Multi-modes electric appliances. / Chui, Kwok Tai; Hung, Faan Hei; Li, Benjamin Yee Shing et al.
Proceedings of 2014 IEEE International Conference on Consumer Electronics - China, ICCE-C 2014. 2015. 7029896 (Proceedings of 2014 IEEE International Conference on Consumer Electronics - China, ICCE-C 2014).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Appliance signature

T2 - 2014 IEEE International Conference on Consumer Electronics China, ICCE-C 2014

AU - Chui, Kwok Tai

AU - Hung, Faan Hei

AU - Li, Benjamin Yee Shing

AU - Tsang, Kim Fung

AU - Chung, Henry Shu Hung

PY - 2015/2/3

Y1 - 2015/2/3

N2 - 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.

AB - 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.

KW - Appliance signature

KW - Energy managemnet

KW - Neural network

KW - Smart grid

KW - Smart metering

UR - https://www.scopus.com/pages/publications/84930448992

U2 - 10.1109/ICCE-China.2014.7029896

DO - 10.1109/ICCE-China.2014.7029896

M3 - Conference contribution

AN - SCOPUS:84930448992

T3 - Proceedings of 2014 IEEE International Conference on Consumer Electronics - China, ICCE-C 2014

BT - Proceedings of 2014 IEEE International Conference on Consumer Electronics - China, ICCE-C 2014

Y2 - 9 April 2014 through 13 April 2014

ER -

Appliance signature: Multi-modes electric appliances

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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Cite this