Numerical and Machine Learning Methods to Predict the Thermal Behaviour of New Photovoltaic Cells in Order to Increase Their Efficiency

International Journal of Thermophysics 2026 Book chapter

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Authors: Ateeq Ur Rehman, Sandra Corasaniti, Ivano Petracci, Paolo Coppa, Dario Atzori
DOI: 10.1007/s10765-026-03744-4
Cited by: 4
References: 61

Fields of Study & Subjects

Chemical and Physical Properties of Materials solar cell performance optimization Silicon and Solar Cell Technologies

Publication details

Journal / source
International Journal of Thermophysics
Publisher
Springer Science and Business Media LLC
Volume
47
Issue
4
Publication date
21 March 2026
Language
EN
Document type
Book chapter