Correction to “Detecting Anomaly Classification Using PCA-Kmeans and Ensembled Classifier for Wind Turbines”

Presents corrections to the paper, (Correction to “Detecting Anomaly Classification Using PCA-Kmeans and Ensembled Classifier for Wind Turbines”).

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Bibliographic Details
Main Authors: Prince Waqas Khan, Yung-Cheol Byun
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Open Access Journal of Power and Energy
Online Access:https://ieeexplore.ieee.org/document/10785525/
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author Prince Waqas Khan
Yung-Cheol Byun
author_facet Prince Waqas Khan
Yung-Cheol Byun
author_sort Prince Waqas Khan
collection DOAJ
description Presents corrections to the paper, (Correction to “Detecting Anomaly Classification Using PCA-Kmeans and Ensembled Classifier for Wind Turbines”).
format Article
id doaj-art-ecac2d41f315426fb9df6d05be49a5bb
institution OA Journals
issn 2687-7910
language English
publishDate 2024-01-01
publisher IEEE
record_format Article
series IEEE Open Access Journal of Power and Energy
spelling doaj-art-ecac2d41f315426fb9df6d05be49a5bb2025-08-20T02:21:45ZengIEEEIEEE Open Access Journal of Power and Energy2687-79102024-01-011161061010.1109/OAJPE.2024.349625210785525Correction to “Detecting Anomaly Classification Using PCA-Kmeans and Ensembled Classifier for Wind Turbines”Prince Waqas Khan0https://orcid.org/0000-0002-2561-4389Yung-Cheol Byun1https://orcid.org/0000-0003-1107-9941Department of Industrial and Management Systems Engineering, West Virginia University, Morgantown, WV, USADepartment of Computer Engineering, Jeju National University, Jeju-si, South KoreaPresents corrections to the paper, (Correction to “Detecting Anomaly Classification Using PCA-Kmeans and Ensembled Classifier for Wind Turbines”).https://ieeexplore.ieee.org/document/10785525/
spellingShingle Prince Waqas Khan
Yung-Cheol Byun
Correction to “Detecting Anomaly Classification Using PCA-Kmeans and Ensembled Classifier for Wind Turbines”
IEEE Open Access Journal of Power and Energy
title Correction to “Detecting Anomaly Classification Using PCA-Kmeans and Ensembled Classifier for Wind Turbines”
title_full Correction to “Detecting Anomaly Classification Using PCA-Kmeans and Ensembled Classifier for Wind Turbines”
title_fullStr Correction to “Detecting Anomaly Classification Using PCA-Kmeans and Ensembled Classifier for Wind Turbines”
title_full_unstemmed Correction to “Detecting Anomaly Classification Using PCA-Kmeans and Ensembled Classifier for Wind Turbines”
title_short Correction to “Detecting Anomaly Classification Using PCA-Kmeans and Ensembled Classifier for Wind Turbines”
title_sort correction to x201c detecting anomaly classification using pca kmeans and ensembled classifier for wind turbines x201d
url https://ieeexplore.ieee.org/document/10785525/
work_keys_str_mv AT princewaqaskhan correctiontox201cdetectinganomalyclassificationusingpcakmeansandensembledclassifierforwindturbinesx201d
AT yungcheolbyun correctiontox201cdetectinganomalyclassificationusingpcakmeansandensembledclassifierforwindturbinesx201d