A multi-model combined prediction method for the short-term power of a wind farm is used for improving the prediction precision of the short-term power of the wind farm.According to the technical scheme, the method comprises the steps that single-step and multi-step prediction of variable-weight dynamic combination are conducted on the wind speed by adopting multiple prediction models according to actual data collected in the wind farm, wherein multi-step prediction is implemented by adopting a rolling prediction method and equivalent dimensions addition of data, and the weight proportion among the models is regulated by analyzing the prediction precision of the models in real time; a prediction result of the output power of the wind farm is obtained according to a wind speed power curve fitted by measured data.According to the prediction method, the weight proportion among the models is changed by analyzing the prediction precision of the models on the basis of a data-driven idea, not only is comprehensive utilization of data information of different prediction methods achieved, but also the condition that the real-time prediction precision is influenced by the fixed weight coefficient can be prevented, therefore, the wind speed prediction precision is improved, and the prediction effect on the short-term power of the wind farm is guaranteed.