Machine Learning Performance Prediction of a Solar Photovoltaic-Thermoelectric System with Various Crystalline Silicon Cell Types

Machine Learning Performance Prediction of a Solar Photovoltaic-Thermoelectric System with Various Crystalline Silicon Cell Types

Since the solar photovoltaic-thermoelectric (PV-TE) is an upcoming technology, the current literature on PV-TEs have failed to thoroughly investigate the effects of different solar cell types on the PV-TE’s performance. Such parametric study becomes necessary since the properties of the solar cell,...

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Bibliographic Details
Main Authors: Alghamdi, Hisham, Maduabuchi, Chika, Albaker, Abdullah, Almalaq, Abdulaziz, Alsuwian, Turki, Alatawi, Ibrahim
Other Authors: Massachusetts Institute of Technology. Department of Nuclear Science and Engineering
Format: Article
Language:English
Published: Hindawi 2023
Online Access:https://hdl.handle.net/1721.1/148616

Internet

https://hdl.handle.net/1721.1/148616

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