NISCAIR Online Periodicals Repository

NISCAIR ONLINE PERIODICALS REPOSITORY (NOPR)  >
NISCAIR PUBLICATIONS >
Research Journals >
Journal of Scientific and Industrial Research (JSIR) >
JSIR Vol.69 [2010] >
JSIR Vol.69(09) [September 2010] >


Title: An integrated ANN-K-Means algorithm for improved performanceassessment of electricity distribution units
Authors: Azadeh, Ali
Saberi, Morteza
Anvari, Mona
Moghaddam, M
Keywords: Artificial neural network
Electricity distribution units
Improved performance assessment
K-Means algorithm
Issue Date: Sep-2010
Publisher: CSIR
Abstract: This study proposes a non-parametric efficiency frontier analysis method based on artificial neural network (ANN) andK-Means algorithm for measuring efficiency of electricity distribution units (EDUs). Effect of return to scale of EDU on itsefficiency is included and EDU used for correction is selected based on its scale. K-Means algorithm is used to cluster EDUs toincrease their homogeneousness by handling outlines and noise. Proposed approach was applied to 31 EDUs in Iran . This is firststudy using integrated ANN-K-Means algorithm for improved performance assessment of EDUs. ANN-K-Means algorithm iscompared with earlier models to show its advantages and superiorities in prediction and forecasting.
Page(s): 672-679
ISSN: 0975-1084 (Online); 0022-4456 (Print)
Source:JSIR Vol.69(09) [September 2010]

Files in This Item:

File Description SizeFormat
JSIR 69(9) 672-679.pdf213.33 kBAdobe PDFView/Open
 Current Page Visits: 648 
Recommend this item

 

National Knowledge Resources Consortium |  NISCAIR Website |  Contact us |  Feedback

Disclaimer: NISCAIR assumes no responsibility for the statements and opinions advanced by contributors. The editorial staff in its work of examining papers received for publication is helped, in an honorary capacity, by many distinguished engineers and scientists.

CC License Except where otherwise noted, the Articles on this site are licensed under Creative Commons License: CC Attribution-Noncommercial-No Derivative Works 2.5 India

Copyright © 2012 The Council of Scientific and Industrial Research, New Delhi. All rights reserved.

Powered by DSpace Copyright © 2002-2007 MIT and Hewlett-Packard | Compliant to OAI-PMH V 2.0

Home Page Total Visits: 510374 since 06-Feb-2009  Last updated on 11-Apr-2014Webmaster: nopr@niscair.res.in