Use case applying machine-learning techniques for improving operation of the distribution network

dc.contributor.author	Foros, Jørn
dc.contributor.author	Istad, Maren Kristine
dc.contributor.author	Morch, Andrei Z
dc.contributor.author	Mathisen, Bjørn Magnus
dc.date.accessioned	2019-09-25T07:28:46Z
dc.date.available	2019-09-25T07:28:46Z
dc.date.created	2019-09-18T13:17:06Z
dc.date.issued	2019
dc.identifier.issn	2032-9644
dc.identifier.uri	http://hdl.handle.net/11250/2618632
dc.language.iso	eng	nb_NO
dc.publisher	AIM	nb_NO
dc.relation.uri	https://www.cired-repository.org/handle/20.500.12455/735
dc.rights	Attribution-NonCommercial-NoDerivatives 4.0 Internasjonal	*
dc.rights.uri	http://creativecommons.org/licenses/by-nc-nd/4.0/deed.no	*
dc.title	Use case applying machine-learning techniques for improving operation of the distribution network	nb_NO
dc.type	Journal article	nb_NO
dc.type	Peer reviewed	nb_NO
dc.description.version	publishedVersion	nb_NO
dc.source.pagenumber	2114	nb_NO
dc.source.volume	2019	nb_NO
dc.source.journal	CIRED Conference Proceedings	nb_NO
dc.identifier.cristin	1726219
dc.relation.project	Norges forskningsråd: 257626	nb_NO
cristin.unitcode	7548,50,0,0
cristin.unitcode	7401,90,0,0
cristin.unitname	Energisystemer
cristin.unitname	SINTEF Digital
cristin.ispublished	true
cristin.fulltext	original
cristin.qualitycode	1

Med mindre annet er angitt, så er denne innførselen lisensiert som Attribution-NonCommercial-NoDerivatives 4.0 Internasjonal