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

A machine learning approach for mapping the very shallow theoretical geothermal potential

(2019) Dan Assouline et al.   Geothermal Energy

An application status review of computational intelligence algorithm in GSHP field

(2019) Shiyu Zhou et al.   ENERGY AND BUILDINGS

A machine learning approach to energy pile design

(2018) Nikolas Makasis et al.   COMPUTERS AND GEOTECHNICS

Artificial neural networks for the generation of a conductivity map of the ground

(2015) Soteris A. Kalogirou et al.   RENEWABLE ENERGY

Artificial neural networks for the generation of geothermal maps of ground temperature at various depths by considering land configuration

(2012) Soteris A. Kalogirou et al.   ENERGY

Is it only CO2 that matters? A life cycle perspective on shallow geothermal systems

(2010) Dominik Saner et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS