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Forecasting Intraday Power Output by a Set of PV Systems using Recurrent Neural Networks and Physical Covariates
We build upon a physical, deterministic PV performance model, the output of which being used as covariates in the context of the neural model.
Transfer Learning of Photometric Phenotypes in Agriculture Using Metadata
Estimation of photometric plant phenotypes (e. g., hue, shine, chroma) in field conditions is important for decisions on the expected yield quality, fruit ripeness, and need for further breeding.
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