Estimating cooling production and monitoring efficiency in chillers using a soft sensor

dc.contributor.author	Alonso, S.
dc.contributor.author	Morán, A.
dc.contributor.author	Pérez, D.
dc.contributor.author	Prada, M. A.
dc.contributor.author	Díaz Blanco, Ignacio
dc.contributor.author	Domínguez, M.
dc.date.accessioned	2021-01-27T10:18:19Z
dc.date.available	2021-01-27T10:18:19Z
dc.date.issued	2020
dc.identifier.citation	Neural Computing and Applications (2020); doi:10.1007/s00521-020-05165-2
dc.identifier.issn	0941-0643
dc.identifier.uri	http://hdl.handle.net/10651/57270
dc.description.sponsorship	This work was supported in part by the Spanish Ministerio de Ciencia e Innovación (MICINN) and the European FEDER funds under Project CICYT DPI2015-69891-C2-1-R/2-R
dc.language.iso	eng
dc.relation.ispartof	Neural Computing and Applications
dc.rights	©,
dc.source	Scopus
dc.source.uri	https://www.scopus.com/inward/record.uri?eid=2-s2.0-85087710961&doi=10.1007%2fs00521-020-05165-2&partnerID=40&md5=9521667e10cddf943bf281c08a52c6e0
dc.title	Estimating cooling production and monitoring efficiency in chillers using a soft sensor
dc.type	journal article
dc.identifier.doi	10.1007/s00521-020-05165-2
dc.relation.projectID	MICINN/DPI2015-69891-C2-1-R/2-R
dc.relation.publisherversion	http://dx.doi.org/10.1007/s00521-020-05165-2

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