Surrogate model for power output prediction of a single thermo-active pile

A database was generated using finite element simulations of a single thermo-active pile under varying geometric, thermal, and operational conditions. These results were used to train a neural network surrogate model capable of predicting the power output per unit length over time for the first year of operation, including transient and steady-state behaviour.