Show simple item record

dc.contributor.authorVan der Mei, Age
dc.contributor.authorDoomernik, Jan-Peter
dc.date.accessioned2019-12-19T18:19:53Z
dc.date.available2019-12-19T18:19:53Z
dc.date.issued2018-06-07
dc.identifier.isbn978-2-9602415-1-8
dc.identifier.issn2032-9628
dc.identifier.urihttps://www.cired-repository.org/handle/20.500.12455/1062
dc.identifier.urihttp://dx.doi.org/10.34890/20
dc.description.abstractThis paper puts forth how artificial intelligence could assist in the intelligent design of microgrid energy systems. The planning of microgrids entails many interacting variables and trade-offs between efficiency, economy and reliability. In order for an artificial intelligence to assist human planners it has to generate optimal designs based on the input and performance criteria. This paper showcases a basic learning neural network to generate a microgrid design for a mid-sized city.
dc.language.isoen
dc.publisherAIM
dc.relation.ispartofseriesCIRED Workshop Proceedings
dc.titleArtificial Intelligence for Microgrid Planning
dc.typeConference Proceedings
dc.description.conferencelocationLjubljana, Slovenia
dc.relation.ispartProc. of CIRED 2018 Ljubljana Workshop
dc.contributor.detailedauthorVan der Mei, Age, Duinn, The Netherlands
dc.contributor.detailedauthorDoomernik, Jan-Peter, Enexis, The Netherlands
dc.date.conferencedate7 - 8 June 2018
dc.description.peerreviewedYes
dc.title.number0303
dc.description.openaccessYes
dc.contributor.countryThe Netherlands
dc.contributor.countryThe Netherlands
dc.description.conferencenameCIRED 2018 Ljubljana Workshop
dc.contributor.affiliationDuinn
dc.contributor.affiliationEnexis
dc.description.sessionArchitecture and system development
dc.description.sessionid2


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record