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dc.contributor.authorNakhodov, Vladimir
dc.contributor.authorBaskys, Algirdas
dc.contributor.authorSkeie, Nils-Olav
dc.contributor.authorPfeiffer, Carlos Fernando
dc.contributor.authorDmytro, Ivanko
dc.date.accessioned2018-02-14T13:09:46Z
dc.date.available2018-02-14T13:09:46Z
dc.date.created2017-01-11T14:38:17Z
dc.date.issued2017
dc.identifier.citationElectrical, Control and Communication Engineering The Journal of Riga Technical University. 2017, 11 (1), 5-12.nb_NO
dc.identifier.issn2255-9140
dc.identifier.urihttp://hdl.handle.net/11250/2484708
dc.description.abstractThe energy efficiency monitoring methods in industry are based on statistical modeling of energy consumption. In the present paper, the widely used method of energy efficiency monitoring “Monitoring and Targeting systems” has been considered, highlighting one of the most important issues ─ selection of the proper mathematical model of energy consumption. The paper gives a list of different models that can be applied in the corresponding systems. The numbers of criteria that estimate certain characteristics of the mathematical model are represented. The traditional criteria of model adequacy and the “additional” criteria, which allow estimating the model characteristics more precisely, are proposed for choosing the mathematical model of energy consumption in “Monitoring and Targeting systems”. In order to provide the comparison of different models by several criteria simultaneously, an approach based on Data Envelopment Analysis is proposed. Such approach allows providing a more accurate and reliable energy efficiency monitoring.nb_NO
dc.language.isoengnb_NO
dc.relation.urihttps://www.degruyter.com/view/j/ecce.2016.11.issue-1/ecce-2016-0006/ecce-2016-0006.xml?format=INT
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.titleSelection methodology of energy consumption model based on data envelopment analysis.nb_NO
dc.typeJournal articlenb_NO
dc.typePeer reviewednb_NO
dc.description.versionpublishedVersionnb_NO
dc.rights.holder2016 Vladimir Nakhodov, Algirdas Baskys, Nils-Olav Skeie, Carlos F. Pfeiffer, Ivanko Dmytro.nb_NO
dc.source.pagenumber5-12nb_NO
dc.source.volume11nb_NO
dc.source.journalElectrical, Control and Communication Engineering The Journal of Riga Technical Universitynb_NO
dc.source.issue1nb_NO
dc.identifier.doi10.1515/ecce-2016-0006
dc.identifier.cristin1425179
cristin.unitcode222,58,2,0
cristin.unitnameInstitutt for elektro, IT og kybernetikk
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1


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Navngivelse 4.0 Internasjonal
Except where otherwise noted, this item's license is described as Navngivelse 4.0 Internasjonal