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Machine Learning-Assisted High-Temperature Reservoir Thermal Energy Storage O...
This data set includes the numerical modeling input files and output files used to synthesize data, and the reduced-order machine learning models trained from the synthesized... -
GeoThermalCloud: Cloud Fusion of Big Data and Multi-Physics Models using Mach...
Geothermal exploration and production are challenging, expensive and risky. The GeoThermalCloud uses Machine Learning to predict the location of hidden geothermal resources.... -
INTEGRATE - Inverse Network Transformations for Efficient Generation of Robus...
The INTEGRATE (Inverse Network Transformations for Efficient Generation of Robust Airfoil and Turbine Enhancements) project is developing a new inverse-design capability for the... -
GOOML Big Kahuna Forecast Modeling and Genetic Optimization Files
This submission includes example files associated with the Geothermal Operational Optimization using Machine Learning (GOOML) Big Kahuna fictional power plant, which uses...