paper
2018
Local & station forecasting
Applications & impacts New model or method
Other6 h–3 days Journal
2018-07-02
008
Jul 2018
Ignacio Salfate, Carlos Hugo López-Caraballo, Carolina Sabín-Sanjulián et al.
Wind Engineering
Backpropagation neural network forecasts 12 and 24 h wind speed at La Serena, Chile, with RMSE about 0.7 m/s, and links it to wind turbine power output.
24-hours wind speed forecasting and wind power generation in La Serena (Chile)
In one sentence. Backpropagation neural network forecasts 12 and 24 h wind speed at La Serena, Chile, with RMSE about 0.7 m/s, and links it to wind turbine power output.
Labels
- Topic
- Local & station forecasting, Applications & impacts
- Type
- New model or method
- Method
- Other
- Time scale
- 6 h–3 days
- Domain
- Local / station
- Data
- Station / in-situ
- Status
- Research
- Identifiers
- DOI:10.1177/0309524x18780381 OpenAlex:W2810254207
- Added
- 2026-10-22
Labels and summary are generated by Claude and reviewed weekly. Wrong? Edit this entry.