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准确的风速预测对风电场实现平稳出力具有重要意义。为提高短期风速预测精度,提出一种基于集合经验模态分解(Ensemble Empirical Mode Decomposition,EEMD)、套索算法(Least Absolute Shrinkage and Selection Operator, LASSO)、遗传算法(Genetic Algorithm, GA)、广义回归神经网络(General Regression Neural Network, GRNN)和长短期记忆模型(Long Short-Te