Prediction of the effect of load resistance and heat input on the performance of thermoelectric generator using numerical and artificial neural network models-Reference-Cited by-同舟云学术

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Prediction of the effect of load resistance and heat input on the performance of thermoelectric generator using numerical and artificial neural network models

Published:2024-07 Issue: Volume:249 Page:123417
ISSN:1359-4311
Container-title:Applied Thermal Engineering
language:en
Short-container-title:Applied Thermal Engineering

Author:

Ozbektas Seyda^ORCID,Kaleli Alirıza,Sungur Bilal

Publisher

Elsevier BV

Reference32 articles.

1. Thermoelectric materials and heat exchangers for power generation – A review;Patil;Renew. Sustain. Energy Rev.,2018

2. Thermoelectric generators: A review of applications;Champier;Energy Convers. Manag.,2017

3. A review of the development and applications of thermoelectric microgenerators for energy harvesting;Ando Junior;Renew. Sustain. Energy Rev.,2018

4. Legs Geometry Influence on the Performance of the Thermoelectric Module;Rjafallah;Sustainability.,2022

5. Recent Developments in Thermoelectric Generation: A Review;Sanin-Villa;Sustainability.,2022

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