T&D

SCE Accelerates Fault Detection with the Power of AI

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 ...
pv magazine International

PV module fault diagnosis uses convolutional neural network

Researchers in China have created a dataset of various PV faults and normalized it to accommodate different array sizes and typologies. After testing the new approach in combination with the 1D-CNN ...
The Economist

How big tech plans to feed AI’s voracious appetite for power

Demand is rocketing thanks to ever more ambitious ai plans by the hyperscalers—Alphabet, Amazon, Microsoft and Meta—all of which rely on data centres to run their services. On July 23rd Alphabet, ...
IEEE

Enhancing Fault Detection and Classification in Wind Farm Power Generation Using Convolutional Neural Networks (CNN) by Leveraging LVRT Embedded in Numerical Relays

Abstract: Real-time fault detection and classification are important for power system stability and resilience of the power grid to minimize downtime and prevent cascading failures. Numerical relays ...