The invention discloses a
wind power forecast method based on an error correction and promotion
wavelet combination forecast model. According to the method,
wind power history data is processed through utilization of a promotion
wavelet decomposition technology, main characteristics of a power data sequence can be improved, frequency components with relatively obvious characteristics can be obtained, and the denoising effect can be achieved, thereby applying to various forecast algorithms. A suitable forecast model is selected according to the characteristics of high and
low frequency components, the deficiency of a single forecast method can be removed, and the forecast precision can be greatly improved. According to the method,
processing errors are corrected through utilization of an error layered
analysis method. Compared with the method of obtaining a next moment error forecast value by directly using the forecast model, the method has the
advantage that under the condition that relatively high fluctuation occurs in the errors, the next moment error condition and compensation strength can be analyzed precisely, the errors resulting from an error forecast process can be reduced, and the errors of the integrated forecast method can be reduced.