paper
2020
Post-processing & calibration
Applications & impacts New model or method
Classical ML (trees, GP, linear, kernels)6 h–3 days Journal
2020-01-31
008
Jan 2020
Sana Mohsin Babbar, Chee-Yong Lau
Solid State Technology
Multistage ensemble of linear regression, ANN and SVM refines NWP wind speed for wind-farm forecasts, reaching 0.13% MAPE at 72 hours.
MEDIUM TERM WIND SPEED FORECASTING USING COMBINATION OF LINEAR AND NONLINEAR MODELS
In one sentence. Multistage ensemble of linear regression, ANN and SVM refines NWP wind speed for wind-farm forecasts, reaching 0.13% MAPE at 72 hours.
Labels
- Topic
- Post-processing & calibration, Applications & impacts
- Type
- New model or method
- Method
- Classical ML (trees, GP, linear, kernels)
- Time scale
- 6 h–3 days
- Domain
- Local / station
- Data
- NWP analysis or forecasts (IFS, GFS, ...)
- Status
- Research
- Identifiers
- OpenAlex:W3091627406
- Added
- 2026-10-22
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