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dc.contributor.authorTalwariya, Akash
dc.contributor.authorSingh, Pushpendra
dc.contributor.authorKolhe, Mohan Lal
dc.contributor.authorJobanputra, Jalpa H.
dc.date.accessioned2021-03-24T08:57:30Z
dc.date.available2021-03-24T08:57:30Z
dc.date.created2020-06-16T15:09:58Z
dc.date.issued2020
dc.identifier.citationTalwariya, A., Singh, P., Kolhe, M. L. & Jobanputra, J. H. (2020). Fuzzy logic controller and game theory based distributed energy resources allocation. AIMS Energy, 8 (3), 474-492. doi:en_US
dc.identifier.issn2333-8334
dc.identifier.urihttps://hdl.handle.net/11250/2735216
dc.language.isoengen_US
dc.publisherAimspressen_US
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.titleFuzzy logic controller and game theory based distributed energy resources allocationen_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionpublishedVersionen_US
dc.rights.holder© 2020 The Author(s)en_US
dc.subject.nsiVDP::Teknologi: 500en_US
dc.source.pagenumber474-492en_US
dc.source.volume8en_US
dc.source.journalAIMS Energyen_US
dc.source.issue3en_US
dc.identifier.doi10.3934/ENERGY.2020.3.474
dc.identifier.cristin1815807
cristin.qualitycode1


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Navngivelse 4.0 Internasjonal
Except where otherwise noted, this item's license is described as Navngivelse 4.0 Internasjonal