paper
2021
Applications & impacts
Nowcasting New model or method
Classical ML (trees, GP, linear, kernels)6 h–3 days Journal
2021-12-01
008
Dec 2021
Gokhan Mert Yagli, Dazhi Yang, Dipti Srinivasan
Renewable and Sustainable Energy Reviews
Dropout neural networks with neighboring satellite pixel inputs produce ensemble solar irradiance forecasts with post-processing for renewable energy applications.
Ensemble solar forecasting and post-processing using dropout neural network and information from neighboring satellite pixels
In one sentence. Dropout neural networks with neighboring satellite pixel inputs produce ensemble solar irradiance forecasts with post-processing for renewable energy applications.
Labels
- Topic
- Applications & impacts, Nowcasting
- Type
- New model or method
- Method
- Classical ML (trees, GP, linear, kernels)
- Time scale
- 6 h–3 days
- Domain
- Regional
- Data
- Satellite
- Status
- Research
- Identifiers
- DOI:10.1016/j.rser.2021.111909 OpenAlex:W3217232257
- Added
- 2026-10-22
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