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Comparing UMNY Machine Learning Predictions of Ground Temperature and Soil Thermal Conductivity to Real-World Sensor Measurements from Across the World

Nicholson, Sarah R.; Antoun, Sylvie; Frith, Sheldon

Key words
Ground Temperature, Thermal Conductivity, Ground Data, Machine Learning Predictor, Physics-Based Deep Learning, Geothermal, Geo-exchange
Conference
Geothermal Resources Council Transactions
Year
2023
Session
Machine learning; Thermal conductivity
Language
English

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