机译:基于LSTM融合自我关注机制的住宅负载预测
Hohai Univ Coll Energy & Elect Engn Nanjing 210098 Peoples R China;
Hohai Univ Coll Energy & Elect Engn Nanjing 210098 Peoples R China;
Hohai Univ Coll Energy & Elect Engn Nanjing 210098 Peoples R China;
Xi An Jiao Tong Univ Dept Elect Engn Xian 710049 Peoples R China;
Hohai Univ Coll Energy & Elect Engn Nanjing 210098 Peoples R China;
Hohai Univ Coll Energy & Elect Engn Nanjing 210098 Peoples R China;
Hohai Univ Coll Energy & Elect Engn Nanjing 210098 Peoples R China;
Residential load forecasting; Interconnected users; Pooling; Self-attention mechanism;
机译:Hybrid LSTM自我关注机制模型,用于预测摩洛哥科学研究改革
机译:基于LSTM递归神经网络的短期住宅负荷预测
机译:集成能源系统短期电负载预测的基于关注的CNN-LSTM-BILSTM模型
机译:基于池LSTM-CNN模型的短期和中期电力负荷预测的新型深度学习方法
机译:CNN与时间序列预测的LSTMS
机译:Hybrid LSTM自我关注机制模型用于预测摩洛哥科学研究改革
机译:Hybrid LSTM自我关注机制模型,用于预测摩洛哥科学研究改革