%0 Conference Paper %1 praditia2019using %A Praditia, Timothy %A Walser, Thilo %A Oladyshkin, Sergej %A Nowak, Wolfgang %B American Geophysical Union, Fall Meeting 2019 %D 2019 %I Smithsonian Astrophysical Observatory %K %P IN32B-15 %T Using physics-based regularization in Artificial Neural Networks to predict thermochemical energy storage systems %U https://ui.adsabs.harvard.edu/abs/2019AGUFMIN32B..15P/abstract

@inproceedings{praditia2019using, added-at = {2023-08-31T14:43:08.000+0200}, author = {Praditia, Timothy and Walser, Thilo and Oladyshkin, Sergej and Nowak, Wolfgang}, biburl = {https://puma.ub.uni-stuttgart.de/bibtex/238287c3b3f9790707da4465cebb8f947/puma-wartung}, booktitle = {American Geophysical Union, Fall Meeting 2019}, eventdate = {09-12-2019/13-12-2019}, eventtitle = {American Geophysical Union, Fall Meeting 2019}, howpublished = {Abstract}, interhash = {b6fdf78041ce7475010cd6e3414b4e2b}, intrahash = {38287c3b3f9790707da4465cebb8f947}, keywords = {}, language = {eng}, pages = {IN32B-15}, publisher = {Smithsonian Astrophysical Observatory}, timestamp = {2023-08-31T12:43:08.000+0200}, title = {Using physics-based regularization in Artificial Neural Networks to predict thermochemical energy storage systems}, url = {https://ui.adsabs.harvard.edu/abs/2019AGUFMIN32B..15P/abstract}, venue = {San Francisco, USA}, year = 2019 }