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

来源：

PROCEEDINGS OF THE 2016 IEEE REGION 10 CONFERENCE (TENCON) | 2016年

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

页码：2563 / 2566

页数：4

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