Thermoelectric Generator Power Prediction Based on Artificial Neural Network

Thermoelectric generators are devices making use of the effect of Seebeck. They directly convert the temperature difference ΔT to electric power. The present paper offers a neural network for the prediction of the voltage generated by a Seebeck module at various temperature differences. For this purpose, real experimental results were used.