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Abdullah Al-Badi

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Open access 2026

Sensor-Driven Robust Fault Detection and Diagnosis for Wind Turbines Under Dynamic and Uncertain Environments Based on Digital Twin-Enhanced Fusion Learning

Reliable fault detection and diagnosis in wind turbine systems remains a significant challenge due to the highly dynamic and uncertain nature of real-world operating environments. Variations in wind speed, turbulence intensity, mechanical loading, and sensor noise can substantially degrade the performance of convention...

Imen Nakti, Majdi Mansouri, A. Kouadri et al. · 0 citations
Open access 2026

Digital Twin-Augmented Multifeature Fusion Ensemble for Accurate and Uncertain PV Power Forecasting

Comprehensive evaluation including ensemble comparisons, ablation studies, and uncertainty metrics, namely prediction interval coverage probability and mean prediction interval width, confirms high coverage and sharpness, while feature-representation fusion ensures consistent, low-uncertainty predictions.

Majdi Mansouri, A. Kouadri, Rami Al-Hmouz et al. · 0 citations

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