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机译:采用混合深神经网络的电力点价格预测的特征提取和排名框架
Hefei Univ Technol Sch Management Hefei 230009 Peoples R China|Hefei Univ Technol Minist Educ Key Lab Proc Optimizat & Intelligent Decis Making Hefei 230009 Peoples R China|Minist Educ Engn Res Ctr Intelligent Decis Making & Informat Hefei 230009 Peoples R China;
Hefei Univ Technol Sch Management Hefei 230009 Peoples R China;
Hefei Univ Technol Sch Management Hefei 230009 Peoples R China;
Hefei Univ Technol Sch Management Hefei 230009 Peoples R China;
Hefei Univ Technol Sch Management Hefei 230009 Peoples R China|Hefei Univ Technol Minist Educ Key Lab Proc Optimizat & Intelligent Decis Making Hefei 230009 Peoples R China|Minist Educ Engn Res Ctr Intelligent Decis Making & Informat Hefei 230009 Peoples R China;
Shanghai Lixin Univ Accounting & Finance Sch Finance Shanghai 201620 Peoples R China;
Short-term electricity price forecasting; Feature extraction; Feature identification; Bidirectional LSTM; Deep learning;
机译:利用深神经网络预测现代现货电价的空气温度的新变量:一种新方法
机译:混合结构深层神经网络的电价预测模型
机译:混合结构深层神经网络的电价预测模型
机译:使用深度学习对MIBEL进行电价预测:NAR,NARX和LSTM网络之间的比较
机译:电子零件价格的预测:从经典的统计和机器学习模型到具有特征嵌入的深度神经网络
机译:迈向住宅和商业建筑中的高效电力预测:具有基于LSTM-AE的框架的新型混合CNN
机译:一种基于双向长期短期记忆神经网络的混合模型及短期电力点价格预测