According to the analysis, deep learning architectures such as Long Short-Term Memory (LSTM) networks and hybrid CNN-LSTM ...

AWARE uses waveform signatures to detect and classify early-stage grid faults, enabling proactive intervention. The system combines physics-based models with AI/ML to interpret subtle electrical ...

Now, the biggest change involves incorporating AI tools to speed analysis and catch anomalies or outliers that humans could ...

CNN and random forest model to detect multiple faults in bifacial PV systems, including dust, shading, aging, and cracks. Using simulated I-V curves and a 180-day synthetic dataset, the model achieved ...

Members can download this article in PDF format. High-voltage systems serve applications ranging from renewable-energy generation to industrial motor control. Such systems require precise control to ...

Reliability of the power-conversion system is a critical issue, especially at high power levels. Application areas that fall under this umbrella include solar-powered inverters, motor drives, electric ...