Models and Prepared Datasets for the First Stage : based on the Single Heat Pump Simulation Datasets
J. Pelzer. Software, (2024)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.
DOI: 10.18419/darus-3690
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.
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
%0 Generic
%1 pelzer2024models
%A Pelzer, Julia
%D 2024
%K darus mult ubs_10005 ubs_10021 ubs_20008 ubs_20019 ubs_30082 ubs_30165 ubs_40116 unibibliografie
%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 = {2024-04-08T16:44:03.000+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 = {darus mult ubs_10005 ubs_10021 ubs_20008 ubs_20019 ubs_30082 ubs_30165 ubs_40116 unibibliografie},
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 = {2024-04-15T17:23:17.000+0200},
title = {Models and Prepared Datasets for the First Stage : based on the Single Heat Pump Simulation Datasets},
year = 2024
}