Name
Abstract | ||
|---|---|---|
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. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1109/TENCON.2016.7848499 | PROCEEDINGS OF THE 2016 IEEE REGION 10 CONFERENCE (TENCON) |
Field | DocType | Volume |
Convection,Computer science,Remote sensing,Lead time,Artificial intelligence,Pattern recognition,Simulation,Solar energy,Sky,Communications satellite,Motion prediction,Optical flow,Cloud computing | Journal | abs/1610.06666 |
Citations | PageRank | References |
0 | 0.34 | 4 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Soumyabrata Dev | 1 | 62 | 13.94 |
| Florian M. Savoy | 2 | 22 | 4.62 |
| Yee Hui Lee | 3 | 107 | 24.09 |
| Stefan Winkler | 4 | 216 | 21.60 |