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

Fraunhofer ISE and Zimmermann PV-Tracker collaborate on the DeepTrack project to improve tracking algorithms using a digital twin with deep learning. The project aims to optimize control approaches for solar PV systems, especially in agriPV systems. The project involves developing control sequences for optimal electricity yield and plant conditions with a focus on bifacial solar modules and agriPV systems.

Source:

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

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