paper
2022
Nowcasting
Observations & remote sensing New model or method
CNN / U-Net0–6 h Journal
2022-11-01
012
Nov 2022
Benjamin G. Pierce, Joshua S. Stein, Jennifer L. Braid et al.
IEEE Journal of Photovoltaics
A convolutional autoencoder segments clouds in sky images above 90% pixel accuracy, and particle tracking predicts cloud motion for short-term PV power.
Cloud Segmentation and Motion Tracking in Sky Images
In one sentence. A convolutional autoencoder segments clouds in sky images above 90% pixel accuracy, and particle tracking predicts cloud motion for short-term PV power.
Labels
- Topic
- Nowcasting, Observations & remote sensing
- Type
- New model or method
- Method
- CNN / U-Net
- Time scale
- 0–6 h
- Domain
- Local / station
- Data
- Other
- Status
- Research
- Identifiers
- DOI:10.1109/jphotov.2022.3215890 OpenAlex:W4310789942
- Added
- 2026-10-22
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