AI wildfire detection uses camera networks, thermal imaging, satellite data, and weather sensors to identify smoke, heat, and ignition risk near power lines, helping utilities reduce wildfire exposure ...

Researchers from the Zhengzhou University in China have created a new electrical fault detection system for PV systems by using the Adaptive Neuro-Fuzzy Inference System (ANFIS) methodology, which is ...

As electric vehicles (EVs) surge in popularity to combat climate change and reduce fossil fuel dependence, ensuring the ...

The comparison figure between no arc-fault state and arc-fault state under various type of loads, ranging from 30 W–60 W. An arc fault is an electrical discharge between two conductors due to poor ...

One of the expectations that industries have with the fast-paced development and application of smart grids and Internet of Things (IoT) technologies is how these will help in improving electrical ...

A company that monitors electrical activity says faults along the Los Angeles power grid skyrocketed in the same areas where three of this week’s major wildfires are currently raging. Bob Marshall, ...

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 ...

New research describes multimodal sensor fusion for AI-based fault detection in 3D printing.