Model selection, adaptation, and combination for transfer learning in wind and photovoltaic power forecasts

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 adap...

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Bibliographic Details

Main Authors:	Jens Schreiber, Bernhard Sick
Format:	Artigo
Language:	Inglês
Published:	Elsevier 2023-10-01
Series:	Energy and AI
Subjects:	Transfer learning Time series Renewable energies Temporal convolutional neural network Ensembles Wind and photovoltaic power
Online Access:	http://www.sciencedirect.com/science/article/pii/S2666546823000216
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