Suche
Anzeige der Dokumente 1-1 von 1
Aufsatz
Model selection, adaptation, and combination for transfer learning in wind and photovoltaic power forecasts
(2023-03-14)
There is recent interest in using model hubs – a collection of pre-trained models – in computer vision tasks. To employ a model hub, we first select a source model and then adapt the model for the target to compensate for differences. There still needs to be more research on model selection and adaption for renewable power forecasts. In particular, none of the related work examines different model selection and adaptation strategies for neural network architectures. Also, none of the current studies investigates the ...