Integrated wind power prediction method, system and equipment based on signal decomposition and medium

The invention discloses an integrated wind power prediction method, system and device based on signal decomposition, and a medium, and the method comprises the steps: inputting a prediction result of a WD-RGF combination model, a prediction result of an EMD-RGF combination model, a prediction result of an EWT-RGF combination model, a prediction result of an EEMD-RGF combination model, and a prediction result of a VMD-RGF combination model into PLSR for weight distribution; according to the method, the system, the equipment and the medium, the wind power of the wind power plant can be accurately predicted. 本发明公开了一种基于信号分解的集成风电功率预测方法、系统、设备及介质，包括：将WD-RGF组合模型的预测结果、EMD-RGF组合模型的预测结果、EWT-RGF组合模型的预测结果、EEMD-RGF组合模型的预测结果及VMD-RGF组合模型的预测结果输入PLSR进行权重分配，得到风电场的集成风电功率预测结果，该方法、系统、设备及介质能够较为准确预测风电场的风电功率。