windkit.ltc.LinRegMCP.predict_with_noise#

LinRegMCP.predict_with_noise(ds_ref, seed=0)[source]#

Predict wind speed with added Gaussian noise.

Calls predict() to obtain the deterministic prediction and the per-timestep residual standard deviation, then samples noise from N(0, residual_std) and adds it to the predicted wind speed. Negative wind speeds are clipped to zero.

Parameters:

  • ds_ref (xarray.Dataset) – Time series wind climate dataset.

  • seed (int) – Random seed for reproducibility. Default is 0.

Returns:

Predicted wind speeds with added noise.

Return type:

xarray.Dataset

Raises:

WindkitValidationError – If any sector has an undefined residual standard deviation (too few training samples).