China's offshore wind power (OWP) has become an important part of China's energy strategy and marine strategy, so studying the output characteristic curve of offshore wind power is of great significance for the development of offshore wind power. In this paper, a Gaussian Mixture Model (GMM) based on QAIC (Quasi-AIC, Akaike Information Criterion) was proposed. The original output curve of offshore wind power was classified and the characteristic curve was extracted. The characteristic curve of offshore wind power which can reflect the characteristics of different wind areas is obtained. At last, taking the actual wind power in Coastal Jiangsu Province as the research object, the results of this clustering model and the Gaussian Mixture Model (GMM) based on BIC (Bayesian Information Criterion) are compared via the CH score (Calinski Harabasz Score) to evaluate the effect of this clustering model for the intention of verifying the effectiveness of the method in this paper.
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