ARIMA-based frequency-decomposed modeling of wind speed time series
dc.contributor.author | Yunus, Kalid | |
dc.contributor.author | Thiringer, Torbjorn | |
dc.contributor.author | Chen, Peiyuan | |
dc.date.accessioned | 2018-10-21T10:26:38Z | |
dc.date.available | 2018-10-21T10:26:38Z | |
dc.date.issued | 2016 | |
dc.description | p.2546 - 2556 | fr_FR |
dc.identifier.issn | 0885-8950 | |
dc.identifier.uri | http://hdl.handle.net/123456789/6671 | |
dc.language.iso | en | fr_FR |
dc.relation.ispartofseries | in: IEEE transactions on power Systems, Vol.31, n°4. (Juil. 2016); | |
dc.subject | Processus moyens mobiles autorégresses | fr_FR |
dc.subject | Energie éolienne | fr_FR |
dc.subject | Coefficient de corrélation automatique (ACC) | fr_FR |
dc.subject | Moyenne mobile régressif intégrée (ARIMA) | fr_FR |
dc.subject | Vent, Energie du | fr_FR |
dc.title | ARIMA-based frequency-decomposed modeling of wind speed time series | fr_FR |
dc.type | Article | fr_FR |