Comparison of Algorithms for Short-term Cloud Coverage Prediction
- Solar irradiance prediction is vital for the power management and the cost reduction when integrating solar energy. The study is towards a ground image based solar irradiance prediction which is highly dependent on the cloud coverage. The sky images are collected by using ground based sky imager (fisheye lens). In this work, different algorithms for cloud detection being a preparation step forSolar irradiance prediction is vital for the power management and the cost reduction when integrating solar energy. The study is towards a ground image based solar irradiance prediction which is highly dependent on the cloud coverage. The sky images are collected by using ground based sky imager (fisheye lens). In this work, different algorithms for cloud detection being a preparation step for their segmentation are compared.…


| Dokumentart: | Konferenzveröffentlichung |
|---|---|
| Art der Konferenzveröffentlichung: | Konferenzartikel |
| Zitierlink: | https://opus.hs-offenburg.de/3062 | Bibliografische Angaben |
| Titel (Englisch): | Comparison of Algorithms for Short-term Cloud Coverage Prediction |
| Konferenzangaben: | 2018 IX National Conference with International Participation (ELECTRONICA), 17-18 May 2018, Sofia, Bulgaria |
| Verfasserangaben: | Stefan HenselStaff MemberORCiDGND, Marin B. MarinovORCiD |
| Erscheinungsjahr: | 2018 |
| Verlag: | IEEE |
| Seitenanzahl: | 4 |
| Erste Seite: | 70 |
| Letzte Seite: | 73 |
| Titel des übergeordneten Werkes (Englisch): | 2018 IX National Conference with International Participation (ELECTRONICA) |
| ISBN: | 978-1-5386-5801-7 (Elektronisch) |
| ISBN: | 978-1-5386-5800-0 (CD) |
| ISBN: | 978-1-5386-5802-4 (Print on Demand) |
| DOI: | https://doi.org/10.1109/ELECTRONICA.2018.8439356 |
| Sprache: | Englisch | Inhaltliche Informationen |
| Fakultäten / Einrichtungen: | Fakultät Elektrotechnik und Informationstechnik (E+I) (bis 03/2019) |
| Sammlungen der Hochschule Offenburg: | Bibliografie | Formale Angaben |
| Open-Access-Status: | Closed Access |
| Lizenz (Deutsch): | Urheberrechtlich geschützt |
| Kommentar: | peer reviewed |



