Skip to main navigation Skip to search Skip to main content

Appliance signature: Multi-modes electric appliances

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

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 languageEnglish
Title of host publicationProceedings of 2014 IEEE International Conference on Consumer Electronics - China, ICCE-C 2014
PublisherIEEE
ISBN (Print)9781479947560
DOIs
Publication statusPublished - 3 Feb 2015
Event2014 IEEE International Conference on Consumer Electronics China, ICCE-C 2014 - Shenzhen, China
Duration: 9 Apr 201413 Apr 2014

Conference

Conference2014 IEEE International Conference on Consumer Electronics China, ICCE-C 2014
PlaceChina
CityShenzhen
Period9/04/1413/04/14

Research Keywords

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

Fingerprint

Dive into the research topics of 'Appliance signature: Multi-modes electric appliances'. Together they form a unique fingerprint.

Cite this