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

The article discusses the DeepTrack project by Fraunhofer ISE and Zimmermann PV-Tracker to improve solar tracking algorithms using deep learning and a digital twin. The collaboration aims to optimize control approaches for solar PV modules and agriPV systems by mapping optimal tracking positions. It also mentions the increasing use of tracker systems in solar PV power plants globally and the expected growth in agriPV systems in Germany after the adoption of Solar Package I.

Source:

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

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