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.
Hypotheses for primary energy use, electricity use and co2 emissions of global computing and its shares of the total between 2020 and
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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.