A prediction model for the performance of solar photovoltaic-thermoelectric systems utilizing various semiconductors via optimal surrogate machine learning methods-Reference-Cited by-同舟云学术

A prediction model for the performance of solar photovoltaic-thermoelectric systems utilizing various semiconductors via optimal surrogate machine learning methods

Published:2023-04 Issue: Volume:40 Page:101363
ISSN:2215-0986
Container-title:Engineering Science and Technology, an International Journal
language:en
Short-container-title:Engineering Science and Technology, an International Journal

Author:

Alghamdi Hisham,Maduabuchi Chika,Albaker Abdullah,Alatawi Ibrahim,Alsenani Theyab R.,Alsafran Ahmed S.,Almalaq Abdulaziz,AlAqil Mohammed,Abdelmohimen Mostafa A.H.,Alkhedher Mohammad

Funder

Office of Research and Sponsored Programs, Marquette University

Deanship of Scientific Research, King Faisal University

Prince Sattam bin Abdulaziz University

Najran University

King Khalid University

King Faisal University

New York University Abu Dhabi

Publisher

Elsevier BV

Subject

Metals and Alloys,Computer Networks and Communications,Fluid Flow and Transfer Processes,Hardware and Architecture,Mechanical Engineering,Biomaterials,Civil and Structural Engineering,Electronic, Optical and Magnetic Materials

Reference96 articles.

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