000			01766nab a2200205 4500
005			20260520000806.0
008			260224s2009 xxu
100	1		_aAzadeh, A. _940470
100	1		_aGhaderi, S.F. _940471
100	1		_aOmrani, H. _940472
245	0	0	_aA deterministic approach for performance assessment and optimization of power distribution units in Iran
260			_cene. 2009
270			_a03/03/2009 ; 03/03/2009
300			_a6 p. ; 274-280
520			_aTranscripción del resúmen publicado por el autor: This paper presents a deterministic approach for performance assessment and optimization of power distribution units in Iran. The deterministic approach is composed of data envelopment analysis (DEA), principal component analysis (PCA) and correlation techniques. Seventeen electricity distribution units have been considered for the purpose of this study. Previous studies have generally used input-output DEA models for benchmarking and evaluation of electricity distribution units. However, this study considers an integrated deterministic DEA-PCA approach since the DEA model should be verified and validated by a robust multivariate methodology such as PCA. Moreover, the DEA models are verified and validated by PCA, Spearman and Kendall's Tau correlation techniques, while previous studies do not have the verification and validation features. Also, both input- and output-oriented DEA models are used for sensitivity analysis of the input and output variables. Finally, this is the first study to present an integrated deterministic approach for assessment and optimization of power distributions in Iran.
581			_a1
773	0		_tEnergy Policy _g37
942			_cARTICULO
999			_c169177 _d169177