基于多头注意力机制的CNN-BiLSTM高海拔多因素输电线路可听噪声预测
为了研究考虑高海拔多环境因素影响下输电线路可听噪声的预测问题,在海拔2 400 m高度点的500 kV同塔双回线路下,搭建了边相外20、30、35 m三处可听噪声观测站,同时利用气象站进行多环境因素指标的数据采集。文中提出了一种基于多头注意力机制(multi-head attention,MHA)的卷积神经网络(convolutional neural network,CNN)—双向长短期记忆网络(bi-directional long short term memory,BiLSTM ...
黄悦华 +4 more
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