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dc.contributor.author김진수-
dc.date.accessioned2018-06-04T08:03:22Z-
dc.date.available2018-06-04T08:03:22Z-
dc.date.issued2016-06-
dc.identifier.citationGeosystem Engineering, v. 19, NO 3, Page. 143-150en_US
dc.identifier.issn1226-9328-
dc.identifier.issn2166-3394-
dc.identifier.urihttps://www.tandfonline.com/doi/full/10.1080/12269328.2016.1154485-
dc.identifier.urihttps://repository.hanyang.ac.kr/handle/20.500.11754/71837-
dc.description.abstractGiven 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.en_US
dc.description.sponsorshipThis work was supported by the Energy Efficiency & Resources Core Technology Program of the Korea Institute of Energy Technology Evaluation and Planning (KETEP) granted financial resource from the Ministry of Trade, Industry & Energy, Republic of Korea [grant number 20152510101880]; National Research Foundation of Korea Grant funded by the Korean Government [NRF-2015S1A3A2046684].en_US
dc.language.isoenen_US
dc.publisherTaylor & Francisen_US
dc.subjectDecompositionen_US
dc.subjectenergy consumptionen_US
dc.subjectenergy efficiencyen_US
dc.subjecthybrid modelen_US
dc.subjectKoreaen_US
dc.titleEnergy efficiency in Korea: analysis using a hybrid DEA modelen_US
dc.typeArticleen_US
dc.relation.no3-
dc.relation.volume19-
dc.identifier.doihttps://doi.org/10.1080/12269328.2016.1154485-
dc.relation.page143-150-
dc.relation.journalGeosystem Engineering-
dc.contributor.googleauthorPark, Sungjun-
dc.contributor.googleauthorKim, Jinsoo-
dc.relation.code2016027287-
dc.sector.campusS-
dc.sector.daehakCOLLEGE OF ENGINEERING[S]-
dc.sector.departmentDEPARTMENT OF EARTH RESOURCES AND ENVIRONMENTAL ENGINEERING-
dc.identifier.pidjinsookim-
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COLLEGE OF ENGINEERING[S](공과대학) > EARTH RESOURCES AND ENVIRONMENTAL ENGINEERING(자원환경공학과) > Articles
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