Machine Learning Based Maintenance Strategies for Enhancing PV System Performance in UAE

A Master of Science thesis in Electrical Engineering by Omar Abdelaziz entitled, “Machine Learning Based Maintenance Strategies for Enhancing PV System Performance in UAE”, submitted in May 2025. Thesis advisor is Dr. Mostafa Shaaban and thesis co-advisor is Dr. Ahmed Osman. Soft copy is available (...

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Main Author: Abdelaziz, Omar (author)
Format: doctoralThesis
Published: 2025
Subjects:
Online Access:https://hdl.handle.net/11073/26147
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author Abdelaziz, Omar
author_facet Abdelaziz, Omar
author_role author
dc.contributor.none.fl_str_mv Shaaban, Mostafa
Osman, Ahmed
dc.creator.none.fl_str_mv Abdelaziz, Omar
dc.date.none.fl_str_mv 2025-06-25T06:01:49Z
2025-06-25T06:01:49Z
2025-05
dc.format.none.fl_str_mv application/pdf
dc.identifier.none.fl_str_mv 35.232-2025.09
https://hdl.handle.net/11073/26147
dc.language.none.fl_str_mv en_US
dc.subject.none.fl_str_mv PV System
Fault diagnosis
Machine learning
K-Means clustering
Gaussian Mixture Models (GMM)
DBSCAN
Support Vector Machine (SVM)
XGBoost
Cleaning Schedule
CO2 Emission
Predictive Maintenance
LSTM
dc.title.none.fl_str_mv Machine Learning Based Maintenance Strategies for Enhancing PV System Performance in UAE
dc.type.none.fl_str_mv info:eu-repo/semantics/publishedVersion
info:eu-repo/semantics/doctoralThesis
description A Master of Science thesis in Electrical Engineering by Omar Abdelaziz entitled, “Machine Learning Based Maintenance Strategies for Enhancing PV System Performance in UAE”, submitted in May 2025. Thesis advisor is Dr. Mostafa Shaaban and thesis co-advisor is Dr. Ahmed Osman. Soft copy is available (Thesis, Completion Certificate, Approval Signatures, and AUS Archives Consent Form).
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identifier_str_mv 35.232-2025.09
language_invalid_str_mv en_US
network_acronym_str aus
network_name_str aus
oai_identifier_str oai:repository.aus.edu:11073/26147
publishDate 2025
repository.mail.fl_str_mv
repository.name.fl_str_mv
repository_id_str
spelling Machine Learning Based Maintenance Strategies for Enhancing PV System Performance in UAEAbdelaziz, OmarPV SystemFault diagnosisMachine learningK-Means clusteringGaussian Mixture Models (GMM)DBSCANSupport Vector Machine (SVM)XGBoostCleaning ScheduleCO2 EmissionPredictive MaintenanceLSTMA Master of Science thesis in Electrical Engineering by Omar Abdelaziz entitled, “Machine Learning Based Maintenance Strategies for Enhancing PV System Performance in UAE”, submitted in May 2025. Thesis advisor is Dr. Mostafa Shaaban and thesis co-advisor is Dr. Ahmed Osman. Soft copy is available (Thesis, Completion Certificate, Approval Signatures, and AUS Archives Consent Form).College of EngineeringDepartment of Electrical EngineeringMaster of Science in Electrical Engineering (MSEE)Shaaban, MostafaOsman, Ahmed2025-06-25T06:01:49Z2025-06-25T06:01:49Z2025-05info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/doctoralThesisapplication/pdf35.232-2025.09https://hdl.handle.net/11073/26147en_USoai:repository.aus.edu:11073/261472025-06-26T12:34:42Z
spellingShingle Machine Learning Based Maintenance Strategies for Enhancing PV System Performance in UAE
Abdelaziz, Omar
PV System
Fault diagnosis
Machine learning
K-Means clustering
Gaussian Mixture Models (GMM)
DBSCAN
Support Vector Machine (SVM)
XGBoost
Cleaning Schedule
CO2 Emission
Predictive Maintenance
LSTM
status_str publishedVersion
title Machine Learning Based Maintenance Strategies for Enhancing PV System Performance in UAE
title_full Machine Learning Based Maintenance Strategies for Enhancing PV System Performance in UAE
title_fullStr Machine Learning Based Maintenance Strategies for Enhancing PV System Performance in UAE
title_full_unstemmed Machine Learning Based Maintenance Strategies for Enhancing PV System Performance in UAE
title_short Machine Learning Based Maintenance Strategies for Enhancing PV System Performance in UAE
title_sort Machine Learning Based Maintenance Strategies for Enhancing PV System Performance in UAE
topic PV System
Fault diagnosis
Machine learning
K-Means clustering
Gaussian Mixture Models (GMM)
DBSCAN
Support Vector Machine (SVM)
XGBoost
Cleaning Schedule
CO2 Emission
Predictive Maintenance
LSTM
url https://hdl.handle.net/11073/26147