Yayın: Hourly solar radiation forecasting using optimal coefficient 2-D linear filters and feed-forward neural networks
| dc.contributor.author | Hocaog̃lu, Fatih Onur | |
| dc.contributor.author | Gerek, Ömer Nezih | |
| dc.contributor.author | Kurban, Mehmet | |
| dc.contributor.orcid | 0000-0002-3640-7676 | |
| dc.contributor.orcid | 0000-0001-8183-1356 | |
| dc.contributor.orcid | 0000-0003-2618-2861 | |
| dc.date.accessioned | 2025-11-13T09:00:55Z | |
| dc.date.issued | 2008-03-05 | |
| dc.identifier.doi | https://doi.org/10.1016/j.solener.2008.02.003 | |
| dc.identifier.endpage | 726 | |
| dc.identifier.issn | 0038-092X | |
| dc.identifier.issue | 8 | |
| dc.identifier.openalex | W2036391399 | |
| dc.identifier.startpage | 714 | |
| dc.identifier.uri | https://hdl.handle.net/11421/209 | |
| dc.identifier.uri | https://doi.org/10.1016/j.solener.2008.02.003 | |
| dc.identifier.volume | 82 | |
| dc.language.iso | en | |
| dc.relation.ispartof | Solar Energy | |
| dc.rights | restrictedAccess | |
| dc.subject | Mean squared error | |
| dc.subject | Artificial neural network | |
| dc.subject | Computer science | |
| dc.subject | Representation (politics) | |
| dc.subject | Filter (signal processing) | |
| dc.subject | Correlation coefficient | |
| dc.subject | Linear model | |
| dc.subject | Linear regression | |
| dc.subject | Interpolation (computer graphics) | |
| dc.subject | Linear filter | |
| dc.subject | Algorithm | |
| dc.subject | Artificial intelligence | |
| dc.subject | Mathematics | |
| dc.subject | Image (mathematics) | |
| dc.subject | Statistics | |
| dc.subject | Machine learning | |
| dc.subject | Computer vision | |
| dc.subject.sdg | 7 | |
| dc.title | Hourly solar radiation forecasting using optimal coefficient 2-D linear filters and feed-forward neural networks | |
| dc.type | Article | |
| dspace.entity.type | Publication | |
| local.authorid.openalex | A5007997452 | |
| local.authorid.openalex | A5035651018 | |
| local.authorid.openalex | A5027921982 |
