Wind power prediction system and method based on seasonal and climatic changes

The invention belongs to the technical field of wind power prediction, and particularly relates to a wind power prediction system and method based on seasonal and climatic changes, a monitoring module obtains the environment temperature, the wind speed, the air density and the power grid frequency of a wind driven generator in a period in real time, and a parameter processing module analyzes the data according to the data to obtain a prediction result. An environment temperature difference value WDX, a wind speed difference value FSC, an air density mean value KSJ and a frequency coefficient DWX are obtained; analyzing the power generation power coefficient ZFD through data, obtaining a preset power generation power coefficient threshold value YZD from the cloud platform, and comparing the power generation power coefficient ZFD with the preset power generation power coefficient threshold value YZD; when the power generation power coefficient ZFD is larger than or equal to the preset power generation power coe