Applying artificial neural networks to forecast European Union allowance prices: The effect of information from pollutant-related sectors

Literals

ou:eid
- 2-s2.0-85076084912
fabio:hasPublicationYear
- 2019
ou:bibtex
- @article{Jaramillo_Mor_n_2019, doi = {10.3390/en12234439}, url = {https://doi.org/10.3390%2Fen12234439}, year = 2019, month = {nov}, publisher = {{MDPI} {AG}}, volume = {12}, number = {23}, pages = {4439}, author = {Miguel A. Jaramillo-Mor{\'{a}}n and Agust{\'{\i}}n Garc{\'{\i}}a-Garc{\'{\i}}a}, title = {Applying Artificial Neural Networks to Forecast European Union Allowance Prices: The Effect of Information from Pollutant-Related Sectors}, journal = {Energies} }
dcterms:creator
- Jaramillo-Morán M.A.
bibo:eissn
- 1996-1073
dcterms:contributor
- Jaramillo-Moran M.A., Garcia-Garcia A.
bibo:doi
- 10.3390/en12234439
vivo:identifier
- 2019-804
dcterms:publisher
- Energies
ou:tipoPublicacion
- Article
dcterms:title
- Applying artificial neural networks to forecast European Union allowance prices: The effect of information from pollutant-related sectors
vcard:url
- https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85076084912&origin=inward
ou:urlOrcid
- https://doi.org/10.3390/en12234439
ou:urlScopus
- https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85076084912&origin=inward
ou:vecesCitado
- 6
bibo:volume
- 12