SHORT-TERM PREDICTION OF LOCALIZED CLOUD MOTION USING GROUND-BASED SKY IMAGERS

被引:0
|
作者
Dev, Soumyabrata [1 ]
Savoy, Florian M. [2 ]
Lee, Yee Hui [1 ]
Winkler, Stefan [2 ]
机构
[1] Nanyang Technol Univ, Sch Elect & Elect Engn, Singapore, Singapore
[2] Univ Illinois, ADSC, Singapore, Singapore
关键词
TRACKING;
D O I
暂无
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Fine-scale short-term cloud motion prediction is needed for several applications, including solar energy generation and satellite communications. In tropical regions such as Singapore, clouds are mostly formed by convection; they are very localized, and evolve quickly. We capture hemispherical images of the sky at regular intervals of time using ground-based cameras. They provide a high resolution and localized cloud images. We use two successive frames to compute optical flow and predict the future location of clouds. We achieve good prediction accuracy for a lead time of up to 5 minutes.
引用
收藏
页码:2563 / 2566
页数:4
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