Smart Optimization of Semiconductors in Photovoltaic-Thermoelectric Systems Using Recurrent Neural Networks

Smart Optimization of Semiconductors in Photovoltaic-Thermoelectric Systems Using Recurrent Neural Networks

In the relentless pursuit of sustainable energy solutions, this study pioneers an innovative approach to integrating thermoelectric generators (TEGs) and photovoltaic (PV) modules within hybrid systems. Uniquely, it employs neural networks for an exhaustive analysis of a plethora of parameters, incl...

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Bibliographic Details
Main Authors: Alghamdi, Hisham, Maduabuchi, Chika, Okoli, Kingsley, Albaker, Abdullah, Alatawi, Ibrahim, Alsafran, Ahmed S., Alkhedher, Mohammad, Chen, Wei-Hsin
Other Authors: Massachusetts Institute of Technology. Department of Nuclear Science and Engineering
Format: Article
Language:English
Published: Hindawi 2024
Online Access:https://hdl.handle.net/1721.1/153427

Internet

https://hdl.handle.net/1721.1/153427

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