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TitleComparing UMNY Machine Learning Predictions of Ground Temperature and Soil Thermal Conductivity to Real-World Sensor Measurements from Across the World
AuthorNicholson, Sarah R.; Antoun, Sylvie; Frith, Sheldon
AffiliationUmny Inc.
PDFyes - members only!
Volume TitleUsing the Earth to Save the Earth
JournalGeothermal Resources Council Transactions
Volume47
Pages2212-2228
Year2023
PublisherGeothermal Rising
Publication PlaceDavis, California
SubjectsMachine learning; Thermal conductivity
KeywordsGround Temperature, Thermal Conductivity, Ground Data, Machine Learning Predictor, Physics-Based Deep Learning, Geothermal, Geo-exchange
Document TypeDigital Collection
LanguageEnglish
ISSN/ISBNISSN: 0193-5933; ISBN: 934412-29-4
GRC ID#1034871
Permalinkhttps://www.geothermal-library.org/index.php?mode=pubs&action=view&record=1034871