Please use this identifier to cite or link to this item: http://nopr.niscair.res.in/handle/123456789/10106
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.
Description: 672-679
URI: http://hdl.handle.net/123456789/10106
ISSN: 0975-1084 (Online); 0022-4456 (Print)
Appears in Collections:JSIR Vol.69(09) [September 2010]

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