Energy efficiency in Korea: analysis using a hybrid DEA model

Sungjun Park, Jinsoo Kim

Research output: Contribution to journalArticle

2 Citations (Scopus)

Abstract

Given the increasing importance of energy efficiency, we appraise the situation in Korea by analyzing past energy consumption patterns. By using a modified hybrid model of index decomposition analysis, artificial neural network (ANN), and data envelopment analysis (DEA), we predict the optimal energy consumption and estimate the difference between the optimal and real values. We decompose primary energy consumption considering the energy loss in a transformation, correcting the over-fitting problem in ANN, and addressing the negative value issue in DEA. We find that energy consumption was the most efficient between 1993 and 1994, 1994 and 1995, 1997 and 1998, and 1999 and 2000. If the over-fitting and negative value problems are properly controlled, the presented LMDI-ANN-DEA hybrid model can be used to predict energy efficiency. The results of this study would be useful to analyze energy consumption patterns in the benchmark years of Korea and help the government formulate a suitable energy policy.

Original languageEnglish
Pages (from-to)143-150
Number of pages8
JournalGeosystem Engineering
Volume19
Issue number3
DOIs
StatePublished - 2016 May 3

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data envelopment analysis
Data envelopment analysis
energy efficiency
Energy efficiency
Energy utilization
artificial neural network
Neural networks
decomposition analysis
energy policy
Energy policy
Energy dissipation
analysis
energy consumption
Decomposition
energy
consumption pattern

Keywords

  • Decomposition
  • Korea
  • energy consumption
  • energy efficiency
  • hybrid model

Cite this

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Energy efficiency in Korea : analysis using a hybrid DEA model. / Park, Sungjun; Kim, Jinsoo.

In: Geosystem Engineering, Vol. 19, No. 3, 03.05.2016, p. 143-150.

Research output: Contribution to journalArticle

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AU - Kim, Jinsoo

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