A novel method to forecast 24 h of global solar irradiation

Simple item page
dc.contributor.authorSaoud, L. Saad
dc.contributor.authorRahmoune, F.
dc.contributor.authorTourtchine, V.
dc.contributor.authorBaddari, Kamel
dc.date.accessioned2018-04-03T09:37:01Z
dc.date.available2018-04-03T09:37:01Z
dc.date.issued2017
dc.identifier.issn1868-3967
dc.identifier.urihttps://dspace.univ-boumerdes.dz/handle/123456789/4644
dc.language.isoenen_US
dc.publisherSpringeren_US
dc.relation.ispartofseriesEnergy Systems/ Vol.9, N°1 (2017);pp. 171-193
dc.subjectQuaternion-valued neural networksen_US
dc.subjectForecastingen_US
dc.subjectRenewable energyen_US
dc.subjectGlobal solar irradiationen_US
dc.titleA novel method to forecast 24 h of global solar irradiationen_US
dc.typeArticleen_US

Files

Original bundle

Now showing 1 - 1 of 1
No Thumbnail Available
Name:
L. Saad Saoud; résumé.pdf
Size:
30.23 KB
Format:
Adobe Portable Document Format
Download

License bundle

Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed upon to submission
Description:
Download

Collections

Publications Internationales