paper
2018
Applications & impacts
Application study
Classical ML (trees, GP, linear, kernels)6 h–3 days Journal
2018-04-01
004
Apr 2018
Irene Schicker, Petrina Papazek, Alexander Kann
EGUGA
Neural network and data-mining framework for wind power nowcasting and forecasting in semi-complex terrain; abstract not available.
"Dark magic" wind power nowcasting/forecasting for semi-complex terrain using an artificial neural network and data mining framework
In one sentence. Neural network and data-mining framework for wind power nowcasting and forecasting in semi-complex terrain; abstract not available.
Labels
- Topic
- Applications & impacts
- Type
- Application study
- Method
- Classical ML (trees, GP, linear, kernels)
- Time scale
- 6 h–3 days
- Domain
- Local / station
- Data
- Other
- Status
- Research
- Identifiers
- OpenAlex:W2994363772
- Added
- 2026-10-22
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