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dc.contributor.authorPoyrazoğlu, Göktürk
dc.date.accessioned2022-09-07T10:16:46Z
dc.date.available2022-09-07T10:16:46Z
dc.date.issued2021-02
dc.identifier.issn1996-1073en_US
dc.identifier.urihttp://hdl.handle.net/10679/7835
dc.identifier.urihttps://www.mdpi.com/1996-1073/14/4/1014
dc.description.abstractIn the electricity market, different pricing models can be applied to increase market competitiveness. Different electricity systems use different market structures. Uniform marginal pricing, zonal marginal pricing, and nodal marginal pricing methods are commonly used market structures. For markets wishing to move from a uniform pricing structure to a more competitive zonal pricing structure, the determination of price zones is critical for achieving a competitive market that generates accurate price signals. Three different pricing zone detection algorithms are analyzed in this paper including the k-means clustering and queen/rook spatially constraint clustering. Finally, the results of a case study for the Turkish electricity system are shared to compare each method.en_US
dc.language.isoengen_US
dc.publisherMDPI AGen_US
dc.relation.ispartofEnergies
dc.rightsopenAccess
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.titleDetermination of price zones during transition from uniform to zonal electricity market: A case study for Turkeyen_US
dc.typeArticleen_US
dc.description.versionPublisher versionen_US
dc.peerreviewedyesen_US
dc.publicationstatusPublisheden_US
dc.contributor.departmentÖzyeğin University
dc.contributor.authorID(ORCID 0000-0002-8503-1767 & YÖK ID 280588) Poyrazoğlu, Göktürk
dc.contributor.ozuauthorPoyrazoğlu, Göktürk
dc.identifier.volume14en_US
dc.identifier.issue4en_US
dc.identifier.wosWOS:000623480700001
dc.identifier.doi10.3390/en14041014en_US
dc.subject.keywordsElectricity marketen_US
dc.subject.keywordsClustering qualityen_US
dc.subject.keywordsK-means clusteringen_US
dc.subject.keywordsSpatially constrained clusteringen_US
dc.subject.keywordsZonal pricingen_US
dc.identifier.scopusSCOPUS:2-s2.0-85106248390
dc.relation.publicationcategoryArticle - International Refereed Journal - Institutional Academic Staff


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