The model utilizes deep learning and image processing techniques and is said to offer “superior performance.” In the future, it might be able to differ between panels of PV and solar thermal systems.

Data collection and analysis in solar PV installations is increasingly sophisticated, particularly relating to grid ...

To mitigate risks, solar industry professionals must adopt better planning strategies and more granular datasets to improve accuracy. Image: Solargis. The financial and technological impact of weather ...

An Australian research team has developed a five-step, rule-based method that detects and classifies underperformance in PV systems using only AC-side inverter data. Validated across more than 1,000 ...