An increasing share of wind energy requires assessing the wind power volatility.

Volatility forecasting with different GARCH models for wind power is examined.

We introduce realized volatility of wind power as a benchmark for latent volatility.

Markov regime switching GARCH model significantly outperforms classical GARCH models.