Estimation of the coal higher heating value for energy systems relied on ultimate analysis with machine learning techniques

dc.contributor.author	García Nieto, Paulino José
dc.contributor.author	García Gonzalo, María Esperanza
dc.contributor.author	Paredes Sánchez, José Pablo
dc.date.accessioned	2024-02-26T07:38:49Z
dc.date.available	2024-02-26T07:38:49Z
dc.date.issued	2024
dc.identifier.citation	Fuel, 357 (2024); doi:10.1016/j.fuel.2023.130037
dc.identifier.issn	0016-2361
dc.identifier.uri	https://hdl.handle.net/10651/71609
dc.description.sponsorship	Authors desire to thank for the computational support given by the Department of Mathematics at University of Oviedo. Moreover, we would desire to express gratitude to Anthony Ashworth for his correction of English grammar and spelling of this investigation.
dc.language.iso	eng
dc.relation.ispartof	Fuel
dc.rights	© 2023 The Authors.
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-s2.0-85173968568&doi=10.1016%2fj.fuel.2023.130037&partnerID=40&md5=045256a5e2ffc5e2815aa7d7e086b243
dc.title	Estimation of the coal higher heating value for energy systems relied on ultimate analysis with machine learning techniques
dc.type	journal article
dc.identifier.doi	10.1016/j.fuel.2023.130037
dc.relation.publisherversion	http://dx.doi.org/10.1016/j.fuel.2023.130037
dc.rights.accessRights	open access
dc.type.hasVersion	VoR

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