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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.show moreshow less

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Metadaten
Document Type:Conference Proceeding
Conference Type:Konferenzartikel
Zitierlink: https://opus.hs-offenburg.de/3062
Bibliografische Angaben
Title (English):Comparison of Algorithms for Short-term Cloud Coverage Prediction
Conference:2018 IX National Conference with International Participation (ELECTRONICA), 17-18 May 2018, Sofia, Bulgaria
Author:Stefan HenselStaff MemberORCiDGND, Marin B. Marinov
Year of Publication:2018
Publisher:IEEE
Page Number:4
First Page:70
Last Page:73
Parent Title (English):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
Language:English
Inhaltliche Informationen
Institutes:Fakultät Elektrotechnik und Informationstechnik (E+I) (bis 03/2019)
Institutes:Bibliografie
Formale Angaben
Open Access: Closed Access 
Licence (German):License LogoUrheberrechtlich geschützt
Comment:
peer reviewed