Fraunhofer ISE uses digital twin model and deep learning for optimised tracking

Fraunhofer ISE in collaboration with Zimmermann PV-Tracker launched the DeepTrack project to improve tracking algorithms using deep learning. The project focused on developing control approaches for solar PV modules and agriPV systems. The digital twin contained solar PV monitoring and modelling tools with weather forecasts. The optimal tracking positions for different situations were mapped. The project is expected to continue until early 2025.

Source:

https://www.pv-tech.org/fraunhofer-ise-digital-twin-model-and-deep-learning-for-tracking/

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