Learn about the methodology and tools for AI-driven arc fault detection to create real-time classification on MCUs, improving ...

This article outlines how EV manufacturers integrate temperature monitoring, current sensing, and fault detection into ...

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 ...

A research team led by the University of Sharjah in the United Arab Emirates has developed a novel machine learning approach for fault detection in bifacial PV systems. The method combines a ...

A groundbreaking data generation platform developed by researchers at RWTH Aachen University's Center for Ageing, Reliability and Lifetime Prediction of Electrochemical and Power Electronic Systems ...

DC arc fault detection is undergoing a transformation thanks to edge AI, helping power systems spot dangerous faults faster, ...

Researchers from Colombia’s Metropolitan Technological Institute of Medellin (ITM) have aggregated an open dataset of PV performance under different fault conditions. Available online, the set ...

Rotating machinery, including critical components such as gears, bearings, and planetary systems, serves as the backbone of modern industrial equipment, ...

PG&E's new monitoring center uses machine learning to detect and prevent wildfires, avoiding ignitions and outages.

PPL Electric Utilities has been recognized with the 2025 Smart Electric Power Alliance (SEPA) Power Player Resilience Award for the use of predictive failure technology to enhance public safety, ...