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F. Albeladi

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Open access Aug 2026

A statistically defensible machine learning pipeline for FDIA detection and resilience evaluation in renewable smart grids

The results support the feasibility of leakage-safe machine-learning evaluation for FDIA detection under the simulated renewable smart-grid setting and provide additional support for evaluation transparency.

Abdulrahman Almazroui, F. Albeladi, R. Almazmomi · 0 citations

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