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On the Bayesian optimization and robustness of event detection methods in NILM

dc.contributor.authorDe Baets, Leen
dc.contributor.authorRuyssinck, Joeri
dc.contributor.authorDevelder, Chris
dc.contributor.authorDhaene, Tom
dc.contributor.authorDeschrijver, Dirk
dc.date.accessioned2021-10-24T03:44:14Z
dc.date.available2021-10-24T03:44:14Z
dc.date.issued2017-06
dc.identifier.issn0378-7788
dc.identifier.urihttps://imec-publications.be/handle/20.500.12860/28105
dc.sourceIIOimport
dc.titleOn the Bayesian optimization and robustness of event detection methods in NILM
dc.typeJournal article
dc.contributor.imecauthorRuyssinck, Joeri
dc.contributor.imecauthorDevelder, Chris
dc.contributor.imecauthorDhaene, Tom
dc.contributor.imecauthorDeschrijver, Dirk
dc.contributor.orcidimecDevelder, Chris::0000-0003-2707-4176
dc.contributor.orcidimecDhaene, Tom::0000-0003-2899-4636
dc.contributor.orcidimecDeschrijver, Dirk::0000-0001-6600-1792
dc.date.embargo9999-12-31
dc.source.peerreviewyes
dc.source.beginpage57
dc.source.endpage66
dc.source.journalEnergy and Buildings
dc.source.volume145
dc.identifier.urlhttp://www.sciencedirect.com/science/article/pii/S037877881631605X
imec.availabilityPublished - open access


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