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机译:结合均值聚类和袋装神经网络的短期风电预测数据挖掘方法
Key Laboratory of Universal Wireless Communications (Ministry of Education), Beijing University of Posts and Telecommunications, Beijing, China;
Key Laboratory of Universal Wireless Communications (Ministry of Education), Beijing University of Posts and Telecommunications, Beijing, China;
Forecasting; Wind power generation; Training; Autoregressive processes; Wind speed; Wind turbines; Neural networks;
机译:使用改进的模糊小波神经网络预测短期风电报的扩展新方法 - 以风电厂为例
机译:小波包分解和ELMAN神经网络的数据挖掘辅助短期风速预测
机译:结合OLS算法和遗传算法的RBF神经网络用于短期风电预测
机译:基于聚类分析和人工神经网络的风电短期预测
机译:利用现场数据,大涡模拟和人工神经网络改善风电场的预建和短期能源产量预测
机译:集成非线性自回归外生人工神经网络进行短期风速和功率预测
机译:K-means聚类与Bagging神经网络相结合的数据挖掘方法 短期风电预测网络