Corrigendum to “A prediction model for the performance of solar photovoltaic-thermoelectric systems utilizing various semiconductors via optimal surrogate machine learning methods” [Eng. Sci. Technol., Int. J., 40 (2023) 101363] (Engineering Science and Technology, an International Journal (2023) 40, (S221509862300040X), (10.1016/j.jestch.2023.101363))

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

Research output: Contribution to journal › Comment/debate

1 Scopus citations

Fingerprint

Dive into the research topics of 'Corrigendum to “A prediction model for the performance of solar photovoltaic-thermoelectric systems utilizing various semiconductors via optimal surrogate machine learning methods” [Eng. Sci. Technol., Int. J., 40 (2023) 101363] (Engineering Science and Technology, an International Journal (2023) 40, (S221509862300040X), (10.1016/j.jestch.2023.101363))'. Together they form a unique fingerprint.

Material Science

Chemical Engineering