机译:三维风和大气参数的四元数值短期联合预报
Department of Electrical and Electronic Engineering, Imperial College London, London SW7 2AZ, United Kingdom;
Department of Electrical and Electronic Engineering, Imperial College London, London SW7 2AZ, United Kingdom;
FIRST, Aihara Innovative Mathematical Modelling Project (Japan Society for Promotion of Science) and University of Tokyo, Japan;
Department of Electrical and Electronic Engineering, Imperial College London, London SW7 2AZ, United Kingdom;
wind forecasting; quaternion-valued representation; augmented quaternion statistics; widely linear quaternion least mean square(WL-QLMS); fusion of atmospheric parameters; data fusion via vector spaces;
机译:用于使用大气变量的全尺寸风电场短期风电预测的强大深度学习框架
机译:基于最小二乘支持向量机回归算法和参数交叉验证法的短期风速参数自适应预测优化模型
机译:使用大气模式改进了非常短期的时空风预报
机译:短期风能预测技术:基于物理学的大气模型的快速更新周期
机译:基于BP和Adaboost_BP的风速和风能的短期预测。
机译:局部风场的时空非对称性及其对短期风预报的影响。
机译:基于启发式优化的多层神经网络的短期交通流预测联合特征选择和参数调整
机译:三维风场天气预报的性能评估 - 临近与三维风场空军气象机构天气预报风预报。