Scientist develops machine learning method to identify defective solar panels – SPE Technology December 20, 2024 A scientist in Sweden has developed a new hybrid local feature-based method that uses thermographs to identify defective solar panels.…
Troubleshooting defective inverters in PV installations through root cause analysis Solar Industry November 7, 2024 Kiwa PI Berlin has resolved inverter faults at a PV installation in South Africa through a root cause analysis. The…
New deep learning technology uses electroluminescence images to identify defective PV cells – SPE Technology September 16, 2024 The new method uses the YOLOv8 framework, which integrates an attention mechanism and a transformer model. It was tested on…
Defective installations are often the cause of battery fires – SPE Energy Storage May 15, 2024 The Electric Power Research Institute (EPRI), the US Department of Energy’s Pacific Northwest National Laboratory (PNNL), and German battery analysis…
