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  2. pytorch_model.bin +1 -1
README.md CHANGED
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  - remote-sensing
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  ---
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- # Model
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  ## Model description
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- [More information needed]
 
 
 
 
 
 
 
 
 
 
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  ## Intended uses & limitations
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- [More information needed]
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  ## How to use
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  ## Training data
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- [More information needed]
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  ## Training procedure
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  - remote-sensing
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  ---
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+ # Nowcasting CNN
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  ## Model description
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+ 3d conv model, that takes in different data streams
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+
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+ architecture is roughly
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+ 1. satellite image time series goes into many 3d convolution layers.
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+ 2. nwp time series goes into many 3d convolution layers.
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+ 3. Final convolutional layer goes to full connected layer. This is joined by
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+ other data inputs like
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+ - pv yield
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+ - time variables
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+ Then there ~4 fully connected layers which end up forecasting the
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+ pv yield / gsp into the future
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  ## Intended uses & limitations
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+ Forecasting short term PV power for different regions and nationally in the UK
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  ## How to use
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  ## Training data
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+ Training data is EUMETSAT RSS imagery over the UK, on-the-ground PV data, and NWP predictions.
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  ## Training procedure
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