BP神经网络用于风功率预测，可以仿真出风功率以及每个点的误差-BP neural network is used to predict wind power, wind power can be simulated and error for each point

Elman神经网络法预测风电功率 内含5min间隔的数据 预测输入为相关因素：风速、风向和温度 预测变量是风电功率 精度较高-Elman neural network to predict wind power 5min intervals containing data Prediction input factors: wind speed, wind direction and temperature Predictor is wind power High

A grid-connected wind-photovoltaic (PV) hybrid power system is proposed, and the steady-state model analysis and the control strategy of the system are presented in this paper. The system consists of the PV power, wind power, and an intelligent p