%0 Journal Article %1 journals/eswa/QiuHZYN24 %A Qiu, Yilei %A He, Zhou %A Zhang, Wenyu %A Yin, Xiang %A Ni, Chengjie %D 2024 %J Expert Syst. Appl. %K dblp %N Part A %P 121737 %T MSGCN-ISTL: A multi-scaled self-attention-enhanced graph convolutional network with improved STL decomposition for probabilistic load forecasting. %U http://dblp.uni-trier.de/db/journals/eswa/eswa238.html#QiuHZYN24 %V 238

@article{journals/eswa/QiuHZYN24, added-at = {2023-12-10T00:00:00.000+0100}, author = {Qiu, Yilei and He, Zhou and Zhang, Wenyu and Yin, Xiang and Ni, Chengjie}, biburl = {https://www.bibsonomy.org/bibtex/2b656117acfdf4824d97df2b84bffe983/dblp}, ee = {https://doi.org/10.1016/j.eswa.2023.121737}, interhash = {a6568f96ef8cf0e506027623e0624d25}, intrahash = {b656117acfdf4824d97df2b84bffe983}, journal = {Expert Syst. Appl.}, keywords = {dblp}, month = {March}, number = {Part A}, pages = 121737, timestamp = {2024-04-08T10:11:47.000+0200}, title = {MSGCN-ISTL: A multi-scaled self-attention-enhanced graph convolutional network with improved STL decomposition for probabilistic load forecasting.}, url = {http://dblp.uni-trier.de/db/journals/eswa/eswa238.html#QiuHZYN24}, volume = 238, year = 2024 }