HEAL DSpace

MULTICRITERIA ANALYSIS WITH A LARGE-SCALE ENERGY SUPPLY L. P. MODEL.

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dc.contributor.author Psarras, J en
dc.contributor.author Capros, P en
dc.contributor.author Samouilidis, J-E en
dc.date.accessioned 2014-03-01T02:40:49Z
dc.date.available 2014-03-01T02:40:49Z
dc.date.issued 1986 en
dc.identifier.issn 01912216 en
dc.identifier.uri https://dspace.lib.ntua.gr/xmlui/handle/123456789/30240
dc.subject Large Scale en
dc.subject multicriteria analysis en
dc.subject Decision Maker en
dc.subject Linear Program en
dc.subject.other COMPUTER SOFTWARE en
dc.subject.other DECISION THEORY AND ANALYSIS en
dc.subject.other MATHEMATICAL PROGRAMMING - Applications en
dc.subject.other ENERGY SUPPLY MODEL en
dc.subject.other MULTICRITERIA ANALYSIS en
dc.subject.other ENERGY MANAGEMENT en
dc.title MULTICRITERIA ANALYSIS WITH A LARGE-SCALE ENERGY SUPPLY L. P. MODEL. en
heal.type conferenceItem en
heal.identifier.primary 10.1109/CDC.1986.267307 en
heal.identifier.secondary http://dx.doi.org/10.1109/CDC.1986.267307 en
heal.publicationDate 1986 en
heal.abstract A methodology and an application for performing multicriteria analysis with a large-scale linear programming energy supply model is presented. It is applicable when the dimension and the software of the model do not permit the use of a complicated multiobjective algorithm searching for a best compromise solution. The method is based on a version of the constraint method for generating efficient solutions. A methodology is proposed for exploring progressively the set of efficient solutions and structuring the information obtained. This procedure provides abundant and usable information to the decision maker and helps him choose among alternative decision paths. The analysis is illustrated with results obtained from the EFOM-GRESOM energy supply model. en
heal.publisher IEEE, New York, NY, USA en
heal.journalName Proceedings of the IEEE Conference on Decision and Control en
dc.identifier.doi 10.1109/CDC.1986.267307 en
dc.identifier.spage 1852 en
dc.identifier.epage 1853 en


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