Prediction of the parameters of a Thermoelectric Battery with Neural Network

Recently, active developments of projects related to alternative energy sources can be observed, including revival of long known effects like the effect of Seebeck. The present paper presents studies on three thermoelectric modules working in a generator mode. On the basis of the results obtained, a neural network for prediction of the parameters of the thermoelectric batteries made from such modules was synthesized.