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The only tolerable deviations from that target are essentially forecast errors.
Specifically, we examine two key assumptions, the independence of forecast errors across time and the failure of forecast errors to spillover industrial boundaries.
Because of the highly variable forecast errors of wind power generation, a thorough uncertainty model describing both the predictive distribution and dependent structure of forecast errors is essential.
Finally, 1-year ahead forecast errors are large (overall mean of 9.06 %) compared to the 1-month ahead forecast errors (overall mean of −0.27 %).
The targets include load management and compensation of wind power forecast errors.
We document a significant positive relation between subsidiary earnings and future forecast errors of consolidated earnings.
Lastly, the inundated area forecast errors were reduced overall for all examined lead times.
Wind power forecast errors have important impacts on the performance of wind-BESS operation.
They cannot be directly controlled, and their forecast errors substantially exceed the forecast error of load.
Considering that the previous bid is based on previous wind power forecasts, forecast errors are inevitable.
This paper considers how the sequences should be selected and discusses forecast errors.
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