DocumentCode :
27936
Title :
Evaluating Electricity Distributors Efficiency Using Self-Organizing Map and Data Envelopment Analysis
Author :
Naciff de Andrade, Gustavo ; Araujo Alves, Laura ; Ribeiro Flora da Silva, Carlos Eduardo ; Soares de Mello, Joao Carlos C. B.
Author_Institution :
Univ. Fed. Fluminense (UFF), Niterói, Brazil
Volume :
12
Issue :
8
fYear :
2014
fDate :
Dec. 2014
Firstpage :
1464
Lastpage :
1472
Abstract :
This paper presents an alternative approach to the one developed by the Brazilian National Agency of Electric Energy (ANEEL) for analysis of efficient operating costs of electricity distributors. The approach adopted by the agency clusters distributors by the magnitude of the market, applying an input-oriented Data Envelopment Analysis (DEA) model in two stages in which the second phase is used to adjust the efficiency considering environmental variables of each concession area. The aim of this paper is to use Self-Organizing Map (SOM) for grouping the distributors with similar environmental variables of the concession areas and later, to assess the distributors efficiency, through the same first stage DEA model performed by ANEEL. This approach eliminates the DEA second stage procedure, presenting a new way of analyzing distributors efficiencies.
Keywords :
data envelopment analysis; environmental factors; power distribution; power engineering computing; self-organising feature maps; ANEEL; Brazilian National Agency of Electric Energy; DEA model; SOM; agency clusters distributors; data envelopment analysis; electricity distributors efficiency evaluation; environmental variables; operating costs; self-organizing map; Analytical models; Benchmark testing; Data envelopment analysis; Data models; Decision making; Electricity; Data envelopment analysis; electricity distributors; self-organizing map;
fLanguage :
English
Journal_Title :
Latin America Transactions, IEEE (Revista IEEE America Latina)
Publisher :
ieee
ISSN :
1548-0992
Type :
jour
DOI :
10.1109/TLA.2014.7014515
Filename :
7014515
Link To Document :
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