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Prediction of short‐term photovoltaic power via codec neural network and mode decomposition based deep learning approach

Jie Li, RunRan Li, YuanJie Jia, ZhiXin Zhang
2021 Energy Science & Engineering  
This is an open access article under the terms of the Creat ive Commo ns Attri bution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited  ...  A new fusion architecture based on codec is adopted. 39, 40 Codec (Encoder and Decoder) architecture proposed in this study can make the model layout more suitable, which means that each part of the model  ...  In general, researchers use RNN as encoder and decoder, but in this study, LSTM and ResNet are fused as encoder and decoder.  ... 
doi:10.1002/ese3.1009 fatcat:vrtaoorsczgrppzdnkrtcohbna