The invention belongs to the technical field of wind power generation power prediction and relates to a prediction method of total wind electricity power facing to an area. The method includes step one, selecting represented wind power stations in the area, and further obtaining an output power predicted value of each represented wind power station; step two, establishing mapping models by a radial basis function neural network, and computing a total wind electricity power predicted value in the area according to the output power predicted value of each represented wind power station; and step three, outputting the total wind electricity power predicted value in the area. The prediction method has the advantages that the usage and the operation are convenient, the input and output are simple, the prediction accuracy is high, the error is small, the expandability is good, the application is flexible and the like, and when the predicted power of the represented wind power stations is known, the total wind electricity power predicted value in the area can be directly computed by the mapping models; and when the predicted power of the represented wind power stations is unknown, the mapping models can access to the presented wind power stations, the mapping models can be driven by numerical weather prediction (NWP) data of the represented wind power stations, and the total wind electricity power predicted value in the area can be further computed.