Appliance signature : Multi-modes electric appliances

Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45)32_Refereed conference paper (with host publication)peer-review

2 Scopus Citations
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Detail(s)

Original languageEnglish
Title of host publicationProceedings of 2014 IEEE International Conference on Consumer Electronics - China, ICCE-C 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Print)9781479947560
Publication statusPublished - 3 Feb 2015

Conference

Title2014 IEEE International Conference on Consumer Electronics China, ICCE-C 2014
PlaceChina
CityShenzhen
Period9 - 13 April 2014

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.

Research Area(s)

  • Appliance signature, Energy managemnet, Neural network, Smart grid, Smart metering

Citation Format(s)

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. Institute of Electrical and Electronics Engineers Inc., 2015. 7029896.

Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45)32_Refereed conference paper (with host publication)peer-review