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dc.contributor.authorBarquin, J.en_GB
dc.contributor.authorBoots, M. G.en_GB
dc.contributor.authorEhrenmann, A.en_GB
dc.contributor.authorHobbs, Benjamin F.en_GB
dc.contributor.authorNeuhoff, Karstenen_GB
dc.contributor.authorRijkers, F. A. M.en_GB
dc.date.accessioned2004-06-16T16:05:38Z
dc.date.available2004-06-16T16:05:38Z
dc.date.created2004-01en_GB
dc.date.issued2004-06-16T16:05:38Z
dc.identifier.urihttp://www.dspace.cam.ac.uk/handle/1810/384
dc.identifier.urihttps://www.repository.cam.ac.uk/handle/1810/384
dc.description.abstractNumerical models for electricity markets are frequently used to inform and support decisions. How robust are the results? Three research groups used the same, realistic data set for generators, demand and transmission network as input for their numerical models. The results coincide when predicting competitive market results. In the strategic case in which large generators can exercise market power, the predicted prices differed significantly. The results are highly sensitive to assumptions about market design, timing of the market and assumptions about constraints on the rationality of generators. Given the same assumptions the results coincide. We provide a checklist for users to understand the implications of different modelling assumptions.en_GB
dc.format.extent340274 bytes
dc.format.mimetypeapplication/pdfen_GB
dc.format.mimetypeapplication/pdf
dc.language.isoen_GB
dc.publisherFaculty of Economics
dc.relation.ispartofseriesCambridge Working Papers in Economics
dc.rightsAll Rights Reserveden
dc.rights.urihttps://www.rioxx.net/licenses/all-rights-reserved/en
dc.subject.classificationClassification-JEL: D43, C72, L94, C61en_GB
dc.subject.otherMarket power, Electricity, Networks, Numeric models, Model comparisonen_GB
dc.titleNetwork-constrained models of liberalized electricity markets: the devil is in the detailsen_GB
dc.typeWorking Paperen
dc.identifier.doi10.17863/CAM.5020


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