Volltext-Downloads (blau) und Frontdoor-Views (grau)
  • search hit 8 of 16
Back to Result List

Ground Sky Imager Based Short Term Cloud Coverage Prediction

  • The paper describes a systematic approach for a precise short-time cloud coverage prediction based on an optical system. We present a distinct pre-processing stage that uses a model based clear sky simulation to enhance the cloud segmentation in the images. The images are based on a sky imager system with fish-eye lens optic to cover a maximum area. After a calibration step, the image is rectifiedThe paper describes a systematic approach for a precise short-time cloud coverage prediction based on an optical system. We present a distinct pre-processing stage that uses a model based clear sky simulation to enhance the cloud segmentation in the images. The images are based on a sky imager system with fish-eye lens optic to cover a maximum area. After a calibration step, the image is rectified to enable linear prediction of cloud movement. In a subsequent step, the clear sky model is estimated on actual high dynamic range images and combined with a threshold based approach to segment clouds from sky. In the final stage, a multi hypothesis linear tracking framework estimates cloud movement, velocity and possible coverage of a given photovoltaic power station. We employ a Kalman filter framework that efficiently operates on the rectified images. The evaluation on real world data suggests high coverage prediction accuracy above 75%.show moreshow less

Export metadata

Additional Services

Share in Twitter Search Google Scholar

Statistics

frontdoor_oas
Metadaten
Author:Stefan HenselGND, Marin B. Marinov, Raphael Schwarz, Ivan Topalov
Editor:Vladimir Poulkov
Publisher:Springer
Place of publication:Cham
Year of Publication:2019
Page Number:12
ISBN:978-3-030-23975-6 (Print)
ISBN:978-3-030-23976-3 (Online)
Language:English
Parent Title (English):FABULOUS 2019: Future Access Enablers for Ubiquitous and Intelligent Infrastructures
ISSN:1867-8211 (Print)
ISSN:1867-822X (Online)
First Page:372
Last Page:385
Document Type:Conference Proceeding
Institutes:Bibliografie
Open Access:Zugriffsbeschränkt
Release Date:2020/01/07
Licence (German):License LogoEs gilt das UrhG
Note:
4th EAI International Conference, FABULOUS 2019, Sofia, Bulgaria, March 28-29, 2019, Proceedings
Note:
Part of the Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering book series (LNICST, volume 283)
DOI:https://doi.org/10.1007/978-3-030-23976-3_33