Please use this identifier to cite or link to this item: https://dspace.univ-ouargla.dz/jspui/handle/123456789/29023
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dc.contributor.advisorMohamed, redouane Kafi-
dc.contributor.advisorBenglia, Elhacen-
dc.contributor.authorIsamil, Laggoun,-
dc.contributor.authorHosseyn, Bougherara-
dc.contributor.authorBenmesbah, Mohamed Amine-
dc.date.accessioned2022-05-16T15:00:53Z-
dc.date.available2022-05-16T15:00:53Z-
dc.date.issued2020-
dc.identifier.urihttp://dspace.univ-ouargla.dz/jspui/handle/123456789/29023-
dc.description.abstractNon-intrusive load monitoring (NILM) is an energy management solution, it gives us statistics of energy consumption specific to each device, with NILM we have optimal energy management, or the other solutions offering Intrusive Load Monitoring (ILM) requires a smart plug installation resulting in additional hardware cost and installation complexity, NILM only needs one metering point, as it can discern devices from aggregate data acquired from a single measuring point. In this work we will show the principles of NILM and the methods and techniques used for the detection of disaggregated energy and show the algorithms used for.en_US
dc.language.isoenen_US
dc.publisherUniversity Kasdi Merbah Ouarglaen_US
dc.subjectNon-Intrusive Load Monitoring (NILM)en_US
dc.subjectIntrusive Load Monitoring (ILM),en_US
dc.subjectMachine learning,en_US
dc.subjectDeep learningen_US
dc.titleNon-Intrusive Load Monitoring (NILM) for Energy Consumption in Householder.en_US
dc.typeThesisen_US
Appears in Collections:Département d'Electronique et des Télécommunications - Master

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