Mostrar el registro sencillo del ítem
Deep learning application to non-intrusive load monitoring
dc.contributor.author | Linh, N. V. | |
dc.contributor.author | Arboleya Arboleya, Pablo | |
dc.date.accessioned | 2020-01-23T08:17:41Z | |
dc.date.available | 2020-01-23T08:17:41Z | |
dc.date.issued | 2019 | |
dc.identifier.isbn | 9781538647226 | |
dc.identifier.uri | http://hdl.handle.net/10651/53804 | |
dc.description | 2019 IEEE Milan PowerTech (Milán. 2019) | |
dc.description.sponsorship | This work was partially supported by the Spanish Ministry of Economy and Competitivity under Grant MINECO-17-ENE2016-77919-R (CONCIALIATOR Energy conversion technologies in resilient hybrid AC/DC distribution networks). | |
dc.format.extent | p. 8810435- | |
dc.language.iso | eng | |
dc.relation.ispartof | 2019 IEEE Milan PowerTech, PowerTech 2019 | |
dc.rights | © 2019 IEEE | |
dc.source | Scopus | |
dc.source.uri | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85072328730&doi=10.1109%2fPTC.2019.8810435&partnerID=40&md5=438b90397910becd04259d4866bae0e5 | |
dc.title | Deep learning application to non-intrusive load monitoring | |
dc.type | conference output | spa |
dc.identifier.doi | 10.1109/PTC.2019.8810435 | |
dc.relation.projectID | MINECO-17-ENE2016-77919-R | |
dc.relation.projectID | FC-GRUPIN-IDI/2018/000241 | |
dc.relation.publisherversion | http://dx.doi.org/10.1109/PTC.2019.8810435 | |
dc.rights.accessRights | open access | |
dc.type.hasVersion | AM |
Ficheros en el ítem
![untranslated untranslated](/dspace/themes/Mirage2/images/uniovi/openAccess.png)
Este ítem aparece en la(s) siguiente(s) colección(ones)
-
Ingeniería Eléctrica, Electrónica, de Comunicaciones y de Sistemas [1008]
-
Investigaciones y Documentos OpenAIRE [7751]
Publicaciones resultado de proyectos financiados con fondos públicos -
Ponencias, Discursos y Conferencias [4013]