Harnessing artificial intelligence and machine learning for predictive maintenance and optimization in renewable energy systems: a mini-review
Cybersecurity risks including vulnerabilities arising from expanded IoT/edge/cloud connectivity and adversarial threats to AI-driven control are highlighted as a critical adoption barrier alongside data quality, interoperability with legacy systems, scalability, and model interpretability.