Machine learning enhancement of thermal response tests for geothermal potential evaluations at site and regional scales

• Machine learning offers a powerful means to account for the testing experience. • Machine learning prediction offer a satisfactory substitute to on-site testing. • Digitalization and pooling of data could decrease the need for on-site testing. This study explores and validates a machine learning approach for the practical, effective, and precise prediction of the thermo-physical characteristics that are essential for the analysis and design of...