1 to 10 of 2,558 Results
Sep 17, 2024
Pelzer, Julia, 2024, "Models and Prepared Datasets for LG-CNN", https://doi.org/10.18419/darus-4467, DaRUS, V2
Models trained with Heat Plume Prediction and datasets prepared with Heat Plume Prediction into reasonable format, reduced set of in/outputs, 2D, normalization used to train these models. Last relevant git commit: cae87d68faf96b2bd8dab935. Based on raw data from doi:darus-4156. |
Sep 17, 2024 -
Models and Prepared Datasets for LG-CNN
ZIP Archive - 232.6 MB -
MD5: 66cc1495a11a733a349a24bf1378ead0
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Sep 13, 2024
Pelzer, Julia, 2024, "Datasets: 6 Heat Pumps, Simulation - Raw + Prepared, 1000 Data Points", https://doi.org/10.18419/darus-4473, DaRUS, V1
This dataset serves as training data for modeling the temperature field emanating from several open loop groundwater heat pumps (six heat pumps, randomly placed). It is simulated with Pflotran and stored in h5 format. The dataset contains 1000 data points, each consisting of one... |
ZIP Archive - 2.4 GB -
MD5: e05fa4bee617a070a8c44579ee66fbdf
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Sep 10, 2024
Pelzer, Julia, 2024, "Raw Simulation Datasets for Extending Heat Plumes", https://doi.org/10.18419/darus-4133, DaRUS, V2
These data sets serve as training and testing data for modelling the extension of temperature field emanating from one groundwater heat pump. There are simulated with Pflotran and saved in h5 format. The data set for training is called "dataset_medium_k_3e-10_1000dp". It contains... |
Sep 10, 2024 -
Raw Simulation Datasets for Extending Heat Plumes
ZIP Archive - 12.6 GB -
MD5: 3a0bdaa9580a60043b371be674034360
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Sep 10, 2024 -
Models and Prepared Datasets for LG-CNN
ZIP Archive - 101.1 MB -
MD5: 6337691e633a29256ed9b368987a088b
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Sep 10, 2024 -
Models and Prepared Datasets for LG-CNN
ZIP Archive - 157.5 MB -
MD5: 21ea7e83a30da8689d8a037a9f7a80eb
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Sep 10, 2024 -
Models and Prepared Datasets for LG-CNN
ZIP Archive - 390.3 MB -
MD5: f58cb730e376f17caa9cfb1d5db3d080
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Sep 10, 2024 -
Models and Prepared Datasets for LG-CNN
ZIP Archive - 127.5 MB -
MD5: 28a4f81008dc4e82fb0f852a0b3000f9
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