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

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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Bibliographic Details
Main Author: Abdelaziz, Omar (author)
Format: doctoralThesis
Published: 2025
Subjects:
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
Online Access:https://hdl.handle.net/11073/26147
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Summary: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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