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Identification of electrical devices applying Big Data and Machine Learning techniques to Power Consumption Data

dc.contributor.authorRodríguez Fernández, María 
dc.contributor.authorGonzález Alonso, Ignacio 
dc.contributor.authorZalama Casanova, Eduardo
dc.date.accessioned2014-08-21T09:01:06Z
dc.date.available2014-08-21T09:01:06Z
dc.date.issued2013
dc.identifier.citationInternational Technology Robotics Applications: proceedings of the 2nd INTERA Conference, held in Oviedo, Spain, March 2013, p.37-46, (2013), Springer International, 978-3-319-02331-1
dc.identifier.isbn978-3-319-02331-1
dc.identifier.urihttp://hdl.handle.net/10651/28216
dc.format.extent37-46spa
dc.language.isoeng
dc.publisherSpringer Internationalspa
dc.relation.ispartofInternational Technology Robotics Applications: proceedings of the 2nd INTERA Conference, held in Oviedo, Spain, March 2013spa
dc.relation.ispartofseriesIntelligent systems, control and automation: science and engineering;70
dc.titleIdentification of electrical devices applying Big Data and Machine Learning techniques to Power Consumption Dataspa
dc.typeconference outputspa
dc.identifier.doi10.1007/978-3-319-02332-8_4


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