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A new hybrid model to foretell thermal power efficiency from energy performance certificates at residential dwellings applying a Gaussian process regression
| dc.contributor.author | García Nieto, Paulino José | |
| dc.contributor.author | García Gonzalo, María Esperanza | |
| dc.contributor.author | Paredes Sánchez, José Pablo | |
| dc.contributor.author | Bernardo Sánchez, A. | |
| dc.date.accessioned | 2021-06-01T09:41:23Z | |
| dc.date.available | 2021-06-01T09:41:23Z | |
| dc.date.issued | 2020 | |
| dc.identifier.citation | Neural Computing and Applications, 33, p. 6627-6640 (2021); doi:10.1007/s00521-020-05427-z | |
| dc.identifier.issn | 0941-0643 | |
| dc.identifier.uri | http://hdl.handle.net/10651/58669 | |
| dc.description.sponsorship | The authors gratefully acknowledge the compu- tational help supplied by the Department of Mathematics at University of Oviedo and financial help of the Research Projects PGC2018-098459-B-I00 and FC-GRUPIN-IDI/2018/000221, both partial funding from European Regional Development Fund (ERDF). In this sense, the authors acknowledge the collaboration based on the Research Project FUO-118-19. Likewise, it is mandatory to thank Anthony Ashworth their revision of English grammar and spelling of this article. | |
| dc.format.extent | p. 6627-6640 | |
| dc.language.iso | eng | |
| dc.relation.ispartof | Neural Computing and Applications | |
| dc.rights | © Springer-Verlag London Ltd., part of Springer Nature 2020 | |
| dc.rights | CC Reconocimiento - No Comercial - Sin Obra Derivada 4.0 Internacional | |
| dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | |
| dc.source | Scopus | |
| dc.source.uri | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85092578205&doi=10.1007%2fs00521-020-05427-z&partnerID=40&md5=76084d2c03569653f1298203d91801f7 | |
| dc.title | A new hybrid model to foretell thermal power efficiency from energy performance certificates at residential dwellings applying a Gaussian process regression | |
| dc.type | journal article | |
| dc.identifier.doi | 10.1007/s00521-020-05427-z | |
| dc.relation.projectID | PGC2018-098459-B-I00 | |
| dc.relation.projectID | FC-GRUPIN-IDI/2018/000221 | |
| dc.relation.publisherversion | http://dx.doi.org/10.1007/s00521-020-05427-z | |
| dc.rights.accessRights | open access | |
| dc.type.hasVersion | AM |
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