On a one-year Stanford sky-image dataset, a frozen pretrained vision transformer predicts solar PV output worse than the CNN baseline (overall RMSE 3.35 vs 2.36), contradicting the paper's own 'almost as well' framing.
This motivated us to as- sess the performance of the vision transformer to our solar power forecasting problem
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Transformers Applied to Short-term Solar PV Power Output Forecasting
On a one-year Stanford sky-image dataset, a frozen pretrained vision transformer predicts solar PV output worse than the CNN baseline (overall RMSE 3.35 vs 2.36), contradicting the paper's own 'almost as well' framing.