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. 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; Turki Alsuwian; Theyab R. Alsenani; Ahmed S. Alsafran; Mohammed AlAqil; Mostafa A.H. Abdelmohimen; Mohammed Alkhedher

doi:10.1016/j.jestch.2023.101414

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. 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
, Turki Alsuwian
, Theyab R. Alsenani
, Ahmed S. Alsafran
, Mohammed AlAqil
, Mostafa A.H. Abdelmohimen
, Mohammed Alkhedher

Electrical Engineering

Research output: Contribution to journal › Comment/debate

Abstract

The authors acknowledge the Deanship of Scientific Research at King Faisal University for funding this work under the Research Collaboration Funding program Grant Number 3128.

Original language	English
Article number	101414
Journal	Engineering Science and Technology, an International Journal
Volume	42
DOIs	https://doi.org/10.1016/j.jestch.2023.101414
State	Published - Jun 2023

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

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Alghamdi, H., Maduabuchi, C., Albaker, A., Alatawi, I., Alsuwian, T., Alsenani, T. R., Alsafran, A. S., AlAqil, M., Abdelmohimen, M. A. H., & Alkhedher, M. (2023). 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. 40 (2023) 101363] (Engineering Science and Technology, an International Journal (2023) 40, (S221509862300040X), (10.1016/j.jestch.2023.101363)). Engineering Science and Technology, an International Journal, 42, Article 101414. https://doi.org/10.1016/j.jestch.2023.101414

Alghamdi, Hisham ; Maduabuchi, Chika ; Albaker, Abdullah et al. / 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. 40 (2023) 101363] (Engineering Science and Technology, an International Journal (2023) 40, (S221509862300040X), (10.1016/j.jestch.2023.101363)). In: Engineering Science and Technology, an International Journal. 2023 ; Vol. 42.

@article{592c2db7a737437a940f6d6cfc9f7418,

title = "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. 40 (2023) 101363] (Engineering Science and Technology, an International Journal (2023) 40, (S221509862300040X), (10.1016/j.jestch.2023.101363))",

abstract = "The authors acknowledge the Deanship of Scientific Research at King Faisal University for funding this work under the Research Collaboration Funding program Grant Number 3128.",

author = "Hisham Alghamdi and Chika Maduabuchi and Abdullah Albaker and Ibrahim Alatawi and Turki Alsuwian and Alsenani, \{Theyab R.\} and Alsafran, \{Ahmed S.\} and Mohammed AlAqil and Abdelmohimen, \{Mostafa A.H.\} and Mohammed Alkhedher",

note = "Publisher Copyright: {\textcopyright} 2023 Karabuk University",

year = "2023",

month = jun,

doi = "10.1016/j.jestch.2023.101414",

language = "English",

volume = "42",

journal = "Engineering Science and Technology, an International Journal",

issn = "2215-0986",

publisher = "Elsevier B.V.",

}

Alghamdi, H, Maduabuchi, C, Albaker, A, Alatawi, I, Alsuwian, T, Alsenani, TR, Alsafran, AS, AlAqil, M, Abdelmohimen, MAH & Alkhedher, M 2023, '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. 40 (2023) 101363] (Engineering Science and Technology, an International Journal (2023) 40, (S221509862300040X), (10.1016/j.jestch.2023.101363))', Engineering Science and Technology, an International Journal, vol. 42, 101414. https://doi.org/10.1016/j.jestch.2023.101414

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. 40 (2023) 101363] (Engineering Science and Technology, an International Journal (2023) 40, (S221509862300040X), (10.1016/j.jestch.2023.101363)). / Alghamdi, Hisham; Maduabuchi, Chika; Albaker, Abdullah et al.
In: Engineering Science and Technology, an International Journal, Vol. 42, 101414, 06.2023.

Research output: Contribution to journal › Comment/debate

TY - JOUR

T1 - 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. 40 (2023) 101363] (Engineering Science and Technology, an International Journal (2023) 40, (S221509862300040X), (10.1016/j.jestch.2023.101363))

AU - Alghamdi, Hisham

AU - Maduabuchi, Chika

AU - Albaker, Abdullah

AU - Alatawi, Ibrahim

AU - Alsuwian, Turki

AU - Alsenani, Theyab R.

AU - Alsafran, Ahmed S.

AU - AlAqil, Mohammed

AU - Abdelmohimen, Mostafa A.H.

AU - Alkhedher, Mohammed

PY - 2023/6

Y1 - 2023/6

N2 - The authors acknowledge the Deanship of Scientific Research at King Faisal University for funding this work under the Research Collaboration Funding program Grant Number 3128.

AB - The authors acknowledge the Deanship of Scientific Research at King Faisal University for funding this work under the Research Collaboration Funding program Grant Number 3128.

UR - https://www.scopus.com/pages/publications/85153794429

U2 - 10.1016/j.jestch.2023.101414

DO - 10.1016/j.jestch.2023.101414

M3 - Comment/debate

AN - SCOPUS:85153794429

SN - 2215-0986

VL - 42

JO - Engineering Science and Technology, an International Journal

JF - Engineering Science and Technology, an International Journal

M1 - 101414

ER -

Alghamdi H, Maduabuchi C, Albaker A, Alatawi I, Alsuwian T, Alsenani TR et al. 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. 40 (2023) 101363] (Engineering Science and Technology, an International Journal (2023) 40, (S221509862300040X), (10.1016/j.jestch.2023.101363)). Engineering Science and Technology, an International Journal. 2023 Jun;42:101414. doi: 10.1016/j.jestch.2023.101414

Abstract

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