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dc.contributor.authorBrekke, Kjell Arne
dc.contributor.authorGolombek, Rolf
dc.contributor.authorKaut, Michal
dc.contributor.authorKittelsen, Sverre A.C.
dc.contributor.authorWallace, Stein W.
dc.date.accessioned2019-02-28T13:04:34Z
dc.date.available2019-02-28T13:04:34Z
dc.date.created2017-09-13T12:02:23Z
dc.date.issued2017
dc.identifier.citationEnergy. 2017, 134 984-990.nb_NO
dc.identifier.issn0360-5442
dc.identifier.urihttp://hdl.handle.net/11250/2588077
dc.description.abstractThe energy markets are characterized by many agents simultaneously solving decision problems under uncertainty. It is argued that Monte Carlo simulations are not an adequate way to assess behavioral uncertainty; one should rather rely on stochastic modelling. Drawing on economics, decision theory and operations research, a simple guide on how to transform a deterministic energy market equilibrium model - where several agents simultaneously make decisions - into a stochastic equilibrium model is offered. With our approach, no programming of a stochastic solution algorithm is required.nb_NO
dc.language.isoengnb_NO
dc.titleStochastic energy market equilibrium modeling with multiple agentsnb_NO
dc.typeJournal articlenb_NO
dc.typePeer reviewednb_NO
dc.description.versionsubmittedVersionnb_NO
dc.source.pagenumber984-990nb_NO
dc.source.volume134nb_NO
dc.source.journalEnergynb_NO
dc.identifier.doi10.1016/j.energy.2017.06.056
dc.identifier.cristin1493277
dc.relation.projectNorges forskningsråd: 228810nb_NO
cristin.unitcode7401,60,20,0
cristin.unitnameAnvendt økonomi
cristin.ispublishedtrue
cristin.fulltextpreprint
cristin.qualitycode2


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