This article is a correction to:
A comparison of several maximum power point tracking algorithms for a photovoltaic power system
Abdulellah Aifan G. Alsulami1
Abdullah Ali Alhussainy1*
Ahmed Allehyani2Yusuf A. Alturki1,3
Sultan M. Alghamdi1
Mohammed Alruwaili4
Yahya Z. Alharthi5- 1Department of Electrical and Computer Engineering, Faculty of Engineering, King Abdulaziz University, Jeddah, Saudi Arabia
- 2Electrical and Electronic Engineering Department, University of Jeddah, Jeddah, Saudi Arabia
- 3K. A. CARE Energy Research and Innovation Center, King Abdulaziz University, Jeddah, Saudi Arabia
- 4Department of Electrical Engineering, College of Engineering, Northern Border University, Arar, Saudi Arabia
- 5Department of Electrical Engineering, College of Engineering, University of Hafr Albatin, Hafr Al Batin, Saudi Arabia
A Corrigendum on
A comparison of several maximum power point tracking algorithms for a photovoltaic power system
by Aifan G. Alsulami A, Alhussainy AA, Allehyani A, Alturki YA, Alghamdi SM, Alruwaili M and Alharthi YZ (2024). Front. Energy Res. 12:1413252. doi: 10.3389/fenrg.2024.1413252
In the published article, there was an error in the Acknowledgments statement. “The authors extend their appreciation to the Deanship of Scientific Research at Northern Border University, Arar, KSA, for funding this research through the project number “NBU-FFR-2024-2124-02.” The correct Acknowledgments statement appears below.
Acknowledgments
“The authors extend their appreciation to the Deanship of Scientific Research at Northern Border University, Arar, KSA, for funding this research through the project number “NBU-FFR-2024-2124-02.” The authors would like to express their profound gratitude to King Abdullah City for Atomic and Renewable Energy (K.A.CARE) for their financial support in accomplishing this work.”
The authors apologize for this error and state that this does not change the scientific conclusions of the article in any way. The original article has been updated.
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Keywords: photovoltaic (PV), maximumpower point (MPP), incremental conductance (INC), perturb and observe (PO), standard test condition (STC), fuzzy logic control (FCL), artificial neural networks (ANN), adaptive neuro fuzzy inference system (ANFIS)
Citation: Alsulami AAG, Alhussainy AA, Allehyani A, Alturki YA, Alghamdi SM, Alruwaili M and Alharthi YZ (2024) Corrigendum: A comparison of several maximum power point tracking algorithms for a photovoltaic power system. Front. Energy Res. 12:1439264. doi: 10.3389/fenrg.2024.1439264
Received: 27 May 2024; Accepted: 20 June 2024;
Published: 05 July 2024.
Approved by:
Frontiers Editorial Office, Frontiers Media SA, SwitzerlandCopyright © 2024 Alsulami, Alhussainy, Allehyani, Alturki, Alghamdi, Alruwaili and Alharthi. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Abdullah Ali Alhussainy, aalhussainy0001@stu.kau.edu.sa