Wind power prediction method of single wind turbine generator

A wind power prediction method for a single wind turbine generator, comprising:

• Step a:
• extracting a plurality of data fragments, each of which 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, and the feature fragment core library comprises feature fragments consisting of feature values of the data fragments;
• Step b:
• 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
• Step c:
• determining power P (T+1) at a time-point T+1 to be predicted 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 1≦Z≦L.