Comments (2)
JackKelly
commented on August 29, 2024
Getting down to about 5 % NMAE "predicting" the future using the actual satellite imagery for the next hour.
Similar results so far using a CNN and a simple Perceiver model (which only sees a single timestep at a time).
With the Perceiver, getting very similar results for 64x64 satellite imagery vs 32x32 imagery (except the large image takes longer to train and uses more GPU RAM!)
But we're not yet letting The Perceiver flex its muscles (by combining multiple "modalities"). Some design ideas for how to use The Perceiver more properly here: openclimatefix/perceiver-pytorch#1
from predict_pv_yield.
JackKelly
commented on August 29, 2024
See #68 for latest ML architecture idea
from predict_pv_yield.
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