NDLI: Appliance signature identification solution using K-means clustering

Content Provider	IEEE Xplore Digital Library
Author	Chui, K.T. Tsang, K.F. Chung, S.H. Yeung, L.F.
Copyright Year	2013
Description	Author affiliation: Dept. of Electron. Eng., City Univ. of Hong Kong, Hong Kong, China (Chui, K.T.; Tsang, K.F.; Chung, S.H.; Yeung, L.F.)
Abstract	Sustainability, energy conservation and demand response have become an inevitable concern around the world. In the light of electricity companies' demand about what electric appliances that the end-users are switching on, appliance signature is suggested to increase the performance of demand response. The main idea behind appliance signature is that it utilizes the characteristic that same types of electric appliances should have similar features like current, power and harmonic distortion. Utility can get not only the energy profile of households with current metering system but also acquires evidence in energy management according to the energy usage pattern. In this paper, K-means clustering is used for the classification of eight types of common household electric appliances which is an appliance signature identification solution for appliance signature. A digital Butterworth filter has been firstly introduced to remove noisy data before data analyzing by K-means clustering. The performance is evaluated by 10-fold cross validation. Three indexes, CH index, DB index and SH index have been calculated to determine the optimal number of clusters used in K-means clustering. These indexes achieve accuracy of 55.5%, 42.1% and 67.7% respectively.
Sponsorship	IEEE Ind. Electron. Soc.
Starting Page	8420
Ending Page	8425
File Size	324693
Page Count	6
File Format	PDF
ISBN	9781479902248
ISSN	1553572X
DOI	10.1109/IECON.2013.6700545
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-11-10
Publisher Place	Austria
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Indexes Home appliances Clustering algorithms Accuracy Vectors Testing Transient analysis Classification Appliance Signature K-means Clustering Demand Response
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in