%0 Journal Article %1 ma2023monitoring %A Ma, Hanbing %A Gaisser, Lukas %A Riedelbach, Stefan %D 2023 %I MDPI %J Energies %K f2023 gold oa oafonds ubs_10004 ubs_20004 ubs_30048 ubs_40076 unibibliografie %N 11 %P 4392 %R 10.3390/en16114392 %T Monitoring Pumping Units by Convolutional Neural Networks for Operating Point Estimations %V 16

@article{ma2023monitoring, added-at = {2023-07-05T08:57:57.000+0200}, author = {Ma, Hanbing and Gaisser, Lukas and Riedelbach, Stefan}, biburl = {https://puma.ub.uni-stuttgart.de/bibtex/2aa46b7f6c9d8fc75efc6f550774e52a8/unibiblio}, doi = {10.3390/en16114392}, interhash = {2d8fc767b439a2100fe2def3943f5dcf}, intrahash = {aa46b7f6c9d8fc75efc6f550774e52a8}, issn = {1996-1073}, journal = {Energies}, keywords = {f2023 gold oa oafonds ubs_10004 ubs_20004 ubs_30048 ubs_40076 unibibliografie}, language = {eng}, number = 11, pages = 4392, publisher = {MDPI}, timestamp = {2023-07-21T08:42:35.000+0200}, title = {Monitoring Pumping Units by Convolutional Neural Networks for Operating Point Estimations}, volume = 16, year = 2023 }