Yayın: Short-term wind speed forecasting by spectral analysis from long-term observations with missing values
| dc.contributor.author | Akçay, Hüseyin | |
| dc.contributor.author | Filik, Tansu | |
| dc.contributor.orcid | 0000-0002-8831-2142 | |
| dc.contributor.orcid | 0000-0003-0205-5059 | |
| dc.date.accessioned | 2025-11-13T09:06:22Z | |
| dc.date.issued | 2017-02-10 | |
| dc.identifier.doi | https://doi.org/10.1016/j.apenergy.2017.01.063 | |
| dc.identifier.endpage | 662 | |
| dc.identifier.issn | 0306-2619 | |
| dc.identifier.openalex | W2586972179 | |
| dc.identifier.startpage | 653 | |
| dc.identifier.uri | https://hdl.handle.net/11421/463 | |
| dc.identifier.uri | https://doi.org/10.1016/j.apenergy.2017.01.063 | |
| dc.identifier.volume | 191 | |
| dc.language.iso | en | |
| dc.relation.ispartof | Applied Energy | |
| dc.rights | restrictedAccess | |
| dc.subject | Trimming | |
| dc.subject | Wind speed | |
| dc.subject | Term (time) | |
| dc.subject | Benchmark (surveying) | |
| dc.subject | Missing data | |
| dc.subject | Kalman filter | |
| dc.subject | Covariance | |
| dc.subject | Computer science | |
| dc.subject | Meteorology | |
| dc.subject | Algorithm | |
| dc.subject | Data mining | |
| dc.subject | Environmental science | |
| dc.subject | Statistics | |
| dc.subject | Mathematics | |
| dc.subject | Machine learning | |
| dc.subject | Artificial intelligence | |
| dc.subject | Geography | |
| dc.subject.sdg | 7 | |
| dc.title | Short-term wind speed forecasting by spectral analysis from long-term observations with missing values | |
| dc.type | Article | |
| dspace.entity.type | Publication | |
| local.authorid.openalex | A5042802961 | |
| local.authorid.openalex | A5046611964 |
