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Wind profile nowcasting and forecasting using machine learning
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DOI：10.1016/j.jweia.2025.106162.png)
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Abstract
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• Non-dimensional polynomial wind profiles are defined and parameterized. • XGBoost (nowcasting) & LSTM (forecasting) predict wind profile parameters. • Nowcasting uses local ground weather data for real-time profile estimation. • Forecasting predicts future profiles using historical ones & local weather data. • Models are trained and validated with a comprehensive dataset from Cabauw.
Keywords:
Nowcasting
Forecasting
Machine learning
Lidar measurements
Mean wind profiles
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