pv magazine International

Denoising outdoor electroluminescence images of PV panels through deep learning

A group of scientists led by researchers from the University of New South Wales (UNSW) in Australia has developed a novel deep-learning method for denoising outdoor electroluminescence (EL) images of ...
PV Tech

Enhanced PV module diagnostics with non-DC electroluminescence imaging polarisation

Figure 1. Enertis Applus+ technicians performing terrestrial nighttime EL inspection on a PV plant (left), while an aerial night-time EL inspection is being conducted using a drone (right). Image: ...
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 ...
Frontiers

Advances in Photovoltaic Materials and Devices Based on Two-Dimensional Systems and Nanomaterials for Solar Energy Conversion

Two-dimensional (2D) materials and nanomaterials have emerged as transformative candidates for next-generation photovoltaic (PV) and solar energy conversion ...
Hosted on MSN

First Solar to Ride the High-Tech PV Module Wave With Its CuRe Program

Amid increasing global usage of renewable electricity, a notable surge in the demand for high-tech photovoltaic (PV) solar modules has been witnessed lately, backed by rapid advancements in solar cell ...
Business Wire

Suniva and Imperial Star Solar Announce Strategic Sourcing Contract to Produce U.S. Domestic Content-Eligible Crystalline Silicon PV Modules

NORCROSS, Ga. & TOMBALL, Texas--(BUSINESS WIRE)--Suniva, the largest and oldest U.S. manufacturer of high-efficiency monocrystalline silicon solar cells and Imperial Star Solar, a Texas-based ...