Neural network models for image-to-image flux map corrections

In this publication, the models utilized for the operational flux density prediction using ray-tracing simulation as input are provided. Both the models and auxiliary functions (for inference or training) are included here. The Transformer models utilized for ray direction predictions - including the dimensional downsampling - are also included.

Related Organizations

German Aerospace Center
Germany

Keywords

Deep Learning, Convolutional Neural Networks (CNN), Concentrating Solar Technologies (CST), Flux density prediction

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Fields of Science

engineering and technology

electrical engineering, electronic engineering, information engineering

Fields of Science

engineering and technology

electrical engineering, electronic engineering, information engineering