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dc.contributor.authorvan der Mei, Age
dc.contributor.authorDoomernik, Jan-Peter
dc.date.accessioned2019-07-24T12:39:21Z
dc.date.available2019-07-24T12:39:21Z
dc.date.issued2019-06-03
dc.identifier.isbn978-2-9602415-0-1
dc.identifier.issn2032-9644
dc.identifier.urihttps://cired-repository.org/handle/20.500.12455/318
dc.identifier.urihttp://dx.doi.org/10.34890/547
dc.description.abstractThis papers sets forth that artificial intelligence is seen as potentially disruptive and ten electricity distribution activities are identified where artificial intelligence could be usefully applied: network planning, asset management, malfunctions & failures, fault detection, demand response & management, planned maintenance, grid operation, data checking & validation and load forecasting. The observation is that the most useful applications of data checking & validation and load forecasting are found to be low to moderate complexity and low to medium on data and time requirement.
dc.language.isoen
dc.publisherAIM
dc.relation.ispartofseriesCIRED Conference Proceedings
dc.titleAn Industry Survey: Artificial Intelligence Potential Disruptiveness And Usefulness for Electricity Distribution
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.number1144
dc.description.openaccessYes
dc.contributor.countryNetherlands
dc.contributor.countryNetherlands
dc.description.conferencenameCIRED 2019
dc.contributor.affiliationDuinn
dc.contributor.affiliationEnexis Netbeheer
dc.description.sessionDSO business environment enabling digitalization and energy transition
dc.description.sessionidSession 6


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