Modelling hydrogen Production from biomass pyrolysis for Energy systems using machine Learning techniques

dc.contributor.author	García Nieto, Paulino José
dc.contributor.author	García Gonzalo, María Esperanza
dc.contributor.author	Paredes Sánchez, Beatriz María
dc.contributor.author	Paredes Sánchez, José Pablo
dc.date.accessioned	2023-11-07T09:59:39Z
dc.date.available	2023-11-07T09:59:39Z
dc.date.issued	2023
dc.identifier.citation	Environmental Science and Pollution Research, 30(31), p. 76977-76991 (2023); doi:10.1007/s11356-023-27805-5
dc.identifier.issn	0944-1344
dc.identifier.uri	https://hdl.handle.net/10651/70269
dc.description.sponsorship	CRUE-CSIC; Springer Nature
dc.description.sponsorship	Open Access funding provided thanks to the CRUE-CSIC agreement with Springer Nature.
dc.format.extent	p. 76977-76991
dc.language.iso	eng
dc.relation.ispartof	Environmental Science and Pollution Research
dc.rights	© The Author(s) 2023
dc.rights	CC Reconocimiento 4.0 Internacional
dc.rights.uri	http://creativecommons.org/licenses/by/4.0/
dc.source	Scopus
dc.source.uri	https://www.scopus.com/inward/record.uri?eid=2-s2.0-85160609693&doi=10.1007%2fs11356-023-27805-5&partnerID=40&md5=4d02bb02f88c5ee2d10fbb3f25cade85
dc.title	Modelling hydrogen Production from biomass pyrolysis for Energy systems using machine Learning techniques
dc.type	journal article
dc.identifier.doi	10.1007/s11356-023-27805-5
dc.relation.publisherversion	http://dx.doi.org/10.1007/s11356-023-27805-5
dc.rights.accessRights	open access
dc.type.hasVersion	VoR

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