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 ...
pv magazine International

PV string fault detection technique based on multi-layer neural network

Scientists in India have proposed using a multilayer neural network to find line-to-ground, line-to-line, and bypass diode faults in PV module strings. They tested the new approach on a 22.5 kW solar ...
PV Tech

Grounding issues and damaged modules among most common rooftop solar safety problems – CEA

Walking on modules as one Image: Justin Lim on Unsplash Grounding issues and damaged modules are the most common safety problems among rooftop solar projects, according to Clean Energy Associates (CEA ...