Technology Scientist develops machine learning method to identify defective solar panels – SPEBy solarenergyDecember 20, 20240 A scientist in Sweden has developed a new hybrid local feature-based method that uses thermographs to identify defective solar panels.…
Solar Industry Troubleshooting defective inverters in PV installations through root cause analysisBy solarenergyNovember 7, 20240 Kiwa PI Berlin has resolved inverter faults at a PV installation in South Africa through a root cause analysis. The…
Technology New deep learning technology uses electroluminescence images to identify defective PV cells – SPEBy solarenergySeptember 16, 20240 The new method uses the YOLOv8 framework, which integrates an attention mechanism and a transformer model. It was tested on…
Energy Storage Defective installations are often the cause of battery fires – SPEBy solarenergyMay 15, 20240 The Electric Power Research Institute (EPRI), the US Department of Energy’s Pacific Northwest National Laboratory (PNNL), and German battery analysis…
