A wind power prediction method based on rough set conditional entropy weighted Markov chain is proposed in this paper. First, a multi-step prediction state can be calculated by using the Markov chains; Second, the new reasonable attribute weights for the prediction result in each step can be calculated by using the rough set and conditional entropy; Finally, the combined forecast results are obtained by weight calculation. After algorithm verification, the wind power prediction accuracy can be improved effectively by using the proposed method.