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April 10, 2026Energy Technology

A Review of Partial Shading Fault Detection in Solar Power Systems: Toward an Internet of Energy‐Based Framework

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Authors

AZAlireza ZabihiKBKivanc BASARAN

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Overview

This review highlights approaches to enhance fault detection in solar power systems, indicating opportunities for real-time energy management.

Key Points

  • The review aims to explore and evaluate current methods for detecting partial shading faults in photovoltaic systems.
  • Classified existing detection methods into algorithm-based, circuit-based, hybrid, and machine learning techniques.
  • Assessed the development of monitoring systems using IoT and IoE for real-time fault management.
  • Identified challenges such as low-latency communication and lack of standards in existing systems.
  • Current methods lack real-time adaptability and accuracy in large-scale applications.
  • Opportunities for improved scalability and resilience in energy networks through smart monitoring are identified.
  • Future research is needed to address interoperability and security issues for enhanced fault detection.

Cite This Study

Zabihi et al. (2026) studied this question.

synapsesocial.com/papers/69d895046c1944d70ce05fb2https://doi.org/10.1002/ente.202502132
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