机译:一种基于基于最小门控存储网络的新型两阶段间隔预测方法,用于集群风电预测
Huazhong Univ Sci & Technol Sch Elect & Elect Engn State Key Lab Adv Electromagnet Engn & Technol Wuhan 1037 Peoples R China;
Huazhong Univ Sci & Technol Sch Elect & Elect Engn State Key Lab Adv Electromagnet Engn & Technol Wuhan 1037 Peoples R China;
Huazhong Univ Sci & Technol Sch Elect & Elect Engn State Key Lab Adv Electromagnet Engn & Technol Wuhan 1037 Peoples R China;
Huazhong Univ Sci & Technol Sch Elect & Elect Engn State Key Lab Adv Electromagnet Engn & Technol Wuhan 1037 Peoples R China;
Huazhong Univ Sci & Technol Sch Hydropower & Informat Engn Wuhan 1037 Peoples R China;
Huazhong Univ Sci & Technol Sch Elect & Elect Engn State Key Lab Adv Electromagnet Engn & Technol Wuhan 1037 Peoples R China;
Huazhong Univ Sci & Technol Sch Hydropower & Informat Engn Wuhan 1037 Peoples R China;
clustered wind power; interval prediction; minimal gated memory network; wind power forecasting;
机译:基于分位数回归最小门控记忆网络和核密度估计的风速预测
机译:基于门控复发单元的深度学习方法和短期风电间隔预测的变分模式分解
机译:使用基于神经网络的预测区间将风电功率预测的不确定性纳入随机单位承诺中
机译:基于天气预报向量距离的聚集风力预测方法
机译:使用统计方法的短期风电预测误差分析---通过海上空间平滑效应减少区域性总风电预测误差的研究。
机译:基于熵评估的TRSWA-BP神经网络动态风力预测
机译:一种基于基于最小门控存储网络的新型两阶段间隔预测方法,用于集群风电预测