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July 25, 2025

Optimal Predictive Maintenance Scheduling for Photovoltaic Systems Using Weather Features and Hybrid Machine Learning: A Case Study of the 10 MW Tozeur PV Power Plant

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Authors

BBBechir BouazizMCM. CherifFBFaouzi Bacha

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Overview

Case study applies hybrid forecasting to enhance predictive maintenance scheduling, indicating improved operational efficiency for PV systems.

Key Points

  • Optimal maintenance scheduling for the 10 MW Tozeur PV power plant improves operational efficiency.
  • Utilizing SARIMA and anomaly detection models enhances accuracy in identifying performance issues.
  • Hybrid forecasting combines ARIMA and Isolation Forest for predicting abnormal system behavior.
  • Integrating weather features with predictive analytics increases maintenance reliability in PV systems.

Cite This Study

Bouaziz et al. (2025) studied this question.

synapsesocial.com/papers/689a0627e6551bb0af8ce052https://doi.org/10.21203/rs.3.rs-6430223/v1
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