dc.contributor.author | Brekke, Kjell Arne | |
dc.contributor.author | Golombek, Rolf | |
dc.contributor.author | Kaut, Michal | |
dc.contributor.author | Kittelsen, Sverre A.C. | |
dc.contributor.author | Wallace, Stein W. | |
dc.date.accessioned | 2019-02-28T13:04:34Z | |
dc.date.available | 2019-02-28T13:04:34Z | |
dc.date.created | 2017-09-13T12:02:23Z | |
dc.date.issued | 2017 | |
dc.identifier.citation | Energy. 2017, 134 984-990. | nb_NO |
dc.identifier.issn | 0360-5442 | |
dc.identifier.uri | http://hdl.handle.net/11250/2588077 | |
dc.description.abstract | The 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.iso | eng | nb_NO |
dc.title | Stochastic energy market equilibrium modeling with multiple agents | nb_NO |
dc.type | Journal article | nb_NO |
dc.type | Peer reviewed | nb_NO |
dc.description.version | submittedVersion | nb_NO |
dc.source.pagenumber | 984-990 | nb_NO |
dc.source.volume | 134 | nb_NO |
dc.source.journal | Energy | nb_NO |
dc.identifier.doi | 10.1016/j.energy.2017.06.056 | |
dc.identifier.cristin | 1493277 | |
dc.relation.project | Norges forskningsråd: 228810 | nb_NO |
cristin.unitcode | 7401,60,20,0 | |
cristin.unitname | Anvendt økonomi | |
cristin.ispublished | true | |
cristin.fulltext | preprint | |
cristin.qualitycode | 2 | |