%0 Generic %1 pelzer2024models %A Pelzer, Julia %D 2024 %K %R 10.18419/darus-3690 %T Models and Prepared Datasets for the First Stage : based on the Single Heat Pump Simulation Datasets %X Models trained with 1HP_NNand datasets prepared with 1HP_NN into reasonable format + normalization etc, used for training these models.Last relevant git commit: 5d6c5eae5b00e438.Based on raw data from doi:10.18419/darus-3649 and doi:10.18419/darus-3650.

@misc{pelzer2024models, abstract = {Models trained with 1HP_NNand datasets prepared with 1HP_NN into reasonable format + normalization etc, used for training these models.Last relevant git commit: 5d6c5eae5b00e438.Based on raw data from doi:10.18419/darus-3649 and doi:10.18419/darus-3650. }, added-at = {2024-04-15T17:23:17.000+0200}, affiliation = {Pelzer, Julia/Universität Stuttgart}, author = {Pelzer, Julia}, biburl = {https://puma.ub.uni-stuttgart.de/bibtex/2e6dd46095e4251e54ba724dc9a89341b/unibiblio}, doi = {10.18419/darus-3690}, howpublished = {Software}, interhash = {63891f7c904aa2b813e7f805cc61538e}, intrahash = {e6dd46095e4251e54ba724dc9a89341b}, keywords = {}, note = {Related to: Pelzer, Julia, and Miriam Schulte. "Efficient two-stage modeling of heat plume interactions of geothermal heat pumps in shallow aquifers using convolutional neural networks." Geoenergy Science and Engineering (2024): 212788. doi: 10.1016/j.geoen.2024.212788}, orcid-numbers = {Pelzer, Julia/0009-0003-1727-9626}, timestamp = {2024-04-15T15:23:17.000+0200}, title = {Models and Prepared Datasets for the First Stage : based on the Single Heat Pump Simulation Datasets}, year = 2024 }