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机译:风电预报不确定性建模的有效方法
Department of Engineering and Public Policy, Carnegie Mellon University, Pittsburgh, USA;
Department of Engineering and Public Policy, Carnegie Mellon University, Pittsburgh, USA,Tepper School of Business, Carnegie Mellon University, Pittsburgh, USA;
Department of Electrical and Computer Engineering, Instituto Superior Tecnico, Technical University of Lisbon, Lisbon, Portugal;
Department of Civil and Environmental Engineering, Carnegie Mellon University, Pittsburgh, USA;
Renewable energy; Wind power forecasting; Uncertainty; Logit-normal distribution;
机译:风电预测的不确定性平衡成本建模
机译:通过多种预测模型的统计解释对不确定性下的风力发电进行短期可靠的预测
机译:通过多个预测模型的统计解释,在不确定性下的风力发电的强大短期预测
机译:时间自适应核密度预测:一种新的风功率不确定性建模方法
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:一种新型动力驱动的分数累计灰色模型及其在预测中国风能消费中的应用
机译:风电预报的不确定性估计:概率建模方法的比较