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Virtual sensor based on a deep learning approach for estimating efficiency in chillers
| dc.contributor.author | Alonso, S. | |
| dc.contributor.author | Morán, A. | |
| dc.contributor.author | Pérez, D. | |
| dc.contributor.author | Reguera, P. | |
| dc.contributor.author | Díaz Blanco, Ignacio | |
| dc.contributor.author | Domínguez, M. | |
| dc.date.accessioned | 2019-11-14T10:22:33Z | |
| dc.date.available | 2019-11-14T10:22:33Z | |
| dc.date.issued | 2019 | |
| dc.identifier.isbn | 9783030202569 | |
| dc.identifier.issn | 1865-0929 | |
| dc.identifier.uri | http://hdl.handle.net/10651/53401 | |
| dc.description | International Conference on Engineering Applications of Neural Networks, EANN (20th. 2019. Xersonisos, Crete, Greece) | |
| dc.description.sponsorship | This work was supported in part by the Spanish Ministerio de Ciencia e Innovacion (MICINN) and the European FEDER funds under project CICYT DPI2015-69891-C2-1-R/2-R. | |
| dc.format.extent | p. 307-319 | |
| dc.language.iso | eng | |
| dc.relation.ispartof | Engineering Applications of Neural Networks | |
| dc.relation.ispartofseries | Communications in Computer and Information Science | |
| dc.rights | © Springer Nature Switzerland AG 2019 | |
| dc.rights | This is a post-peer-review, pre-copyedit version of an article published in Engineering Applications of Neural Networks. The final authenticated version is available online at: http://dx.doi.org/10.1007/978-3-030-20257-6_26 | |
| dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | |
| dc.source | Scopus | |
| dc.source.uri | https://www2.scopus.com/inward/record.uri?eid=2-s2.0-85065874349&doi=10.1007%2f978-3-030-20257-6_26&partnerID=40&md5=585f785d21917d7a07f7f903e0ba6c5a | |
| dc.title | Virtual sensor based on a deep learning approach for estimating efficiency in chillers | |
| dc.type | conference output | spa |
| dc.identifier.doi | 10.1007/978-3-030-20257-6_26 | |
| dc.relation.projectID | MICINN/FEDER/DPI2015-69891-C2-1-R/2-R. | |
| dc.relation.publisherversion | http://dx.doi.org/10.1007/978-3-030-20257-6_26 | |
| dc.rights.accessRights | open access | |
| dc.type.hasVersion | AM |
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