School of Electrical and Electronic Engineering, North China Electric Power University, Beijing, China;
School of Electrical and Electronic Engineering, North China Electric Power University, Beijing, China;
Goldwind Science and Technology, Beijing, China;
Goldwind Science and Technology, Beijing, China;
Wind power generation; Predictive models; Forecasting; Genetic algorithms; Artificial neural networks; Mathematical model; Training;
机译:基于MIV,Tversky模型和GA-BP神经网络的短期风电混合预测模型
机译:基于MIV,Tversky模型和GA-BP神经网络的短期风电混合预测模型
机译:基于GA-BP杂交算法的斜率稳定性预测
机译:基于GA-BP的混合算法的混凝土抗压强度预测
机译:基于马尔可夫模型和遗传算法的考虑间歇性风力发电的配电系统无功优化规划。
机译:基于GA-BP神经网络算法的运动性能预测模型分析
机译:基于GA-BP的混凝土抗压强度的预测