%0 Journal Article %1 journals/eswa/ChenZZZDW21 %A Chen, Qian %A Zhang, Wenyu %A Zhu, Kun %A Zhou, Di %A Dai, Hua %A Wu, Quanquan %D 2021 %J Expert Syst. Appl. %K dblp %P 115272 %T A novel trilinear deep residual network with self-adaptive Dropout method for short-term load forecasting. %U http://dblp.uni-trier.de/db/journals/eswa/eswa182.html#ChenZZZDW21 %V 182

@article{journals/eswa/ChenZZZDW21, added-at = {2021-10-05T00:00:00.000+0200}, author = {Chen, Qian and Zhang, Wenyu and Zhu, Kun and Zhou, Di and Dai, Hua and Wu, Quanquan}, biburl = {https://www.bibsonomy.org/bibtex/2adf2b7c087c1d81d50d166edf015c50d/dblp}, ee = {https://doi.org/10.1016/j.eswa.2021.115272}, interhash = {057ab05ea825838e52a7cee485e0fdd4}, intrahash = {adf2b7c087c1d81d50d166edf015c50d}, journal = {Expert Syst. Appl.}, keywords = {dblp}, pages = 115272, timestamp = {2024-04-08T10:08:31.000+0200}, title = {A novel trilinear deep residual network with self-adaptive Dropout method for short-term load forecasting.}, url = {http://dblp.uni-trier.de/db/journals/eswa/eswa182.html#ChenZZZDW21}, volume = 182, year = 2021 }