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dc.contributor.authorvan der Mei, Age
dc.contributor.authorDoomernik, Jan-Peter
dc.date.accessioned2019-07-24T12:39:07Z
dc.date.available2019-07-24T12:39:07Z
dc.date.issued2019-06-03
dc.identifier.isbn978-2-9602415-0-1
dc.identifier.issn2032-9644
dc.identifier.urihttps://cired-repository.org/handle/20.500.12455/301
dc.identifier.urihttp://dx.doi.org/10.34890/527
dc.description.abstractThis paper shows a real-life application of artificial intelligence for the planning of green-field microgrids and finds that an estimated 30% cost reduction is possible compared to the human grid design. The artificial intelligence is able to design both generation and transport/transmission for relatively large area’s and number of users, but is not yet mathematically optimal.
dc.language.isoen
dc.publisherAIM
dc.relation.ispartofseriesCIRED Conference Proceedings
dc.titleArtificial Intelligence planning of two real-life microgrids
dc.typeConference Proceedings
dc.description.conferencelocationMadrid, Spain
dc.relation.ispartProc. of the 25th International Conference on Electricity Distribution (CIRED 2019)
dc.contributor.detailedauthorvan der Mei, Age, Duinn, Netherlands
dc.contributor.detailedauthorDoomernik, Jan-Peter , Enexis Netbeheer, Netherlands
dc.date.conferencedate3-6 June 2019
dc.description.peerreviewedYes
dc.title.number1117
dc.description.openaccessYes
dc.contributor.countryNetherlands
dc.contributor.countryNetherlands
dc.description.conferencenameCIRED 2019
dc.contributor.affiliationDuinn
dc.contributor.affiliationEnexis Netbeheer
dc.description.sessionPlanning of power distribution systems
dc.description.sessionidSession 5


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