Electrical Characteristics Estimation of Photovoltaic Modules via Cuckoo Search—Relevant Vector Machine Probabilistic Model
- 1School of Electronic and Information Engineering, Suzhou University of Science and Technology, Suzhou, China
- 2The Suzhou Smart City Research Institute, Suzhou University of Science and Technology, Suzhou, China
A corrigendum on
by Ban J., Pan X., Bi Z., and Gu M. (2021). Front. Energy Res. 9:610405. doi: 10.3389/fenrg.2021.610405
In the published article, “Ziqiang Bi” was included as an author, however, the contributions of this author towards the study did not meet the criteria for authorship. Therefore, “Ziqiang Bi” was removed from the Author List. The corrected Author Contributions Statement appears below. 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.
Author Contributions
JB wrote the manuscript. XP implemented the experiments. MG checked the manuscript. All authors contributed to the article and approved the submitted version.
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Keywords: photovoltaic module, probabilistic model, relevance vector machine, cuckoo search, simulation
Citation: Ban J, Pan X and Gu M (2021) Corrigendum: Electrical Characteristics Estimation of Photovoltaic Modules via Cuckoo Search—Relevant Vector Machine Probabilistic Model. Front. Energy Res. 9:760010. doi: 10.3389/fenrg.2021.760010
Received: 17 August 2021; Accepted: 24 August 2021;
Published: 09 September 2021.
Approved by:
Frontiers Editorial Office, Frontiers Media SA, SwitzerlandCopyright © 2021 Ban, Pan and Gu. 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: Xinyu Pan, panxy@usts.edu.cn