  This study evaluates the performance of cointegrated vector autoregressive
(VAR) models for very short- and short-term wind power forecasting. Preliminary
results for a German data set comprising six wind power production time series
indicate that taking into account potential cointegrating relations between the
individual series can improve forecasts at short-term time horizons.
