paper
2020
Applications & impacts
Post-processing & calibration Application study
Other6 h–3 days Journal
2020-09-01
008
Sep 2020
Minwoo Baek, Min Kyu Sim, Jae-Yoon Jung
ICIC express letters. Part B, Applications
Deep neural networks predict wind power generation from weather forecast data; abstract not available, so classification is low confidence.
WIND POWER GENERATION PREDICTION BASED ON WEATHER FORECAST DATA USING DEEP NEURAL NETWORKS
In one sentence. Deep neural networks predict wind power generation from weather forecast data; abstract not available, so classification is low confidence.
Labels
- Topic
- Applications & impacts, Post-processing & calibration
- Type
- Application study
- Method
- Other
- Time scale
- 6 h–3 days
- Domain
- Local / station
- Data
- NWP analysis or forecasts (IFS, GFS, ...)
- Status
- Research
- Identifiers
- OpenAlex:W3175044352
- Added
- 2026-10-22
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