Abstract
Due to the instability of the output in wind power, there exists some difficulties on wind power merger to electricity grid. The fast forecasting of output of wind power is in favor of reasonable allocation system and increase the possibility of power merger in a large scale. Based on the actual wind power data, this article utilizes the one order differential method to remove data unsteady and obtains the stable data. In view of the ARMA time series, a numerical prediction model of wind power output is established. The results show that the model has good precision and can be used in the production practice.
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