| 摘要 |
The present invention discloses a wind power prediction method for a single wind turbine generator, comprising: extracting a plurality of data fragments, each of which 5 has a length of L, from a historical database to determine a feature fragment core library before a current time point T, wherein L is an integer greater than or equal to one; clustering the feature fragment core library to form w cluster subsets and w cluster centers with the adoption of a clustering algorithm, wherein w is an integer greater than or equal to one; and determining power P (T+1) at a time-point T+1 to be predicted 10 according to the w cluster centers and a center of a current time fragment, the current time fragment representing a time period from time point T-Z to time point T, wherein Z is a step number and I <Z<L. The wind power prediction method for the single wind turbine provided by the present invention can reliably and effectively forecast the wind power. 3204760_1 (GHMatters) P89793.AU 9/03/12 A plurality of data fragments, each of which has a length of L, are extracted from a historical database to determine a feature fragment core library before the current time point T, wherein, L is a number of data in each of the data 101 fragments and an integer which is greater than or equal to one With the adoption of a clustering algorithm, the feature 102 fragment core library is clustered to form w cluster subsets and w cluster centers; wherein, w is an integer which is greater than or equal to one According to the w cluster centers and a center of a current time fragment, power P (T+1) at the time-point to 103 be predicted T+1 is determined, and the current time fragment represents a time period from time point T-Z to time point T Fig. 1 |
