Title | Comparing UMNY Machine Learning Predictions of Ground Temperature and Soil Thermal Conductivity to Real-World Sensor Measurements from Across the World |
Author | Nicholson, Sarah R.; Antoun, Sylvie; Frith, Sheldon |
Affiliation | Umny Inc. |
PDF | yes - members only! |
Volume Title | Using the Earth to Save the Earth |
Journal | Geothermal Resources Council Transactions |
Volume | 47 |
Pages | 2212-2228 |
Year | 2023 |
Publisher | Geothermal Rising |
Publication Place | Davis, California |
Subjects | Machine learning; Thermal conductivity |
Keywords | Ground Temperature, Thermal Conductivity, Ground Data, Machine Learning Predictor, Physics-Based Deep Learning, Geothermal, Geo-exchange |
Document Type | Digital Collection |
Language | English |
ISSN/ISBN | ISSN: 0193-5933; ISBN: 934412-29-4 |
GRC ID# | 1034871 |
Permalink | https://www.geothermal-library.org/index.php?mode=pubs&action=view&record=1034871 |