13、Probabilistic Short-term Wind Power Forecasting Based on Deep Neural Networks
概率短期风电功率预测基于深度神经网络（清华） 除了传统的预测方法ods，概率预测被认为是最佳的预测铸造解决方案因为它提供了丰富的宝贵不确定性 风电信息。 本文以一种新颖的方法为基础关于确定性短路的深度神经网络（DNN）提出了风电场风电预测 基于概率预测关于条件错误分析也已实施。 有利由于精心设计，实现了概率预测的结果 基于聚类分析设定的条件划分。 中国东北的几个风电场。 传统上，风力发电的结果预
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