An Industry Survey: Artificial Intelligence Potential Disruptiveness And Usefulness for Electricity Distribution
dc.contributor.affiliation | Duinn | |
dc.contributor.affiliation | Enexis Netbeheer | |
dc.contributor.author | van der Mei, Age | |
dc.contributor.author | Doomernik, Jan-Peter | |
dc.contributor.country | Netherlands | |
dc.contributor.country | Netherlands | |
dc.contributor.detailedauthor | van der Mei, Age, Duinn, Netherlands | |
dc.contributor.detailedauthor | Doomernik, Jan-Peter , Enexis Netbeheer, Netherlands | |
dc.date.accessioned | 2019-07-24T12:39:21Z | |
dc.date.available | 2019-07-24T12:39:21Z | |
dc.date.conferencedate | 3-6 June 2019 | |
dc.date.issued | 2019-06-03 | |
dc.description.abstract | This 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.description.conferencelocation | Madrid, Spain | |
dc.description.conferencename | CIRED 2019 | |
dc.description.openaccess | Yes | |
dc.description.peerreviewed | Yes | |
dc.description.session | DSO business environment enabling digitalization and energy transition | |
dc.description.sessionid | Session 6 | |
dc.identifier.isbn | 978-2-9602415-0-1 | |
dc.identifier.issn | 2032-9644 | |
dc.identifier.uri | https://cired-repository.org/handle/20.500.12455/318 | |
dc.identifier.uri | http://dx.doi.org/10.34890/547 | |
dc.language.iso | en | |
dc.publisher | AIM | |
dc.relation.ispart | Proc. of the 25th International Conference on Electricity Distribution (CIRED 2019) | |
dc.relation.ispartofseries | CIRED Conference Proceedings | |
dc.title | An Industry Survey: Artificial Intelligence Potential Disruptiveness And Usefulness for Electricity Distribution | |
dc.title.number | 1144 | |
dc.type | Conference Proceedings |
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