Thermoelectric Generator Power Prediction Based on Artificial Neural Network
Ivaylo Raychev Belovski, Plamena Yovcheva, Stanimir Surchev, Anatoliy Trifonov Aleksandrov · 2018 20th International Symposium on Electrical Apparatus and Technologies (SIELA) · 2018
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.