Review
Open access
Aug 2026
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.
Ugwu Chinyere Nneoma, O. Chukwudi, U. Nnenna et al.
· Frontiers in Energy Research · 1 citation