%0 Journal Article %1 journals/ijon/ZhangWXHP22 %A Zhang, Jun %A Wu, Pengli %A Xu, Xia %A Han, Ming %A Pan, Bin %D 2022 %J Neurocomputing %K dblp %P 151-161 %T PCS-LSTM: A hybrid deep learning model for multi-stations joint temperature prediction based on periodicity and closeness. %U http://dblp.uni-trier.de/db/journals/ijon/ijon501.html#ZhangWXHP22 %V 501

@article{journals/ijon/ZhangWXHP22, added-at = {2022-10-04T00:00:00.000+0200}, author = {Zhang, Jun and Wu, Pengli and Xu, Xia and Han, Ming and Pan, Bin}, biburl = {https://www.bibsonomy.org/bibtex/2a2637002c890092ce684723d79425db7/dblp}, ee = {https://doi.org/10.1016/j.neucom.2022.06.015}, interhash = {0096dce3abb69431ee7fb3f97ee2e7e0}, intrahash = {a2637002c890092ce684723d79425db7}, journal = {Neurocomputing}, keywords = {dblp}, pages = {151-161}, timestamp = {2024-04-08T19:53:57.000+0200}, title = {PCS-LSTM: A hybrid deep learning model for multi-stations joint temperature prediction based on periodicity and closeness.}, url = {http://dblp.uni-trier.de/db/journals/ijon/ijon501.html#ZhangWXHP22}, volume = 501, year = 2022 }