Artificial neural network enabled photovoltaic-thermoelectric generator modelling and analysis

Artificial neural network enabled photovoltaic-thermoelectric generator modelling and analysis

Photovoltaic-Thermoelectric Generator (PV-TEG) system has emerged as a promising approach to significantly enhance the efficiency of conventional PV cells. However, optimizing the performance of these hybrid systems presents a formidable challenge due to their complex structure and multitude of desi...

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Bibliographic Details
Main Authors: Yuxiao Zhu, Daniel W. Newbrook, Peng Dai, Jian Liu, Jichao Li, Chunming Wang, Harold M. Chong, C.H. Kees de Groot, Ruomeng Huang
Format: Article
Language:English
Published: Elsevier 2024-09-01
Series:Case Studies in Thermal Engineering
Subjects:
Photovoltaic
Thermoelectric generator
Artificial neural network
Modelling
Online Access:http://www.sciencedirect.com/science/article/pii/S2214157X24010840

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http://www.sciencedirect.com/science/article/pii/S2214157X24010840

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