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Add model
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- pytorch_model.bin +1 -1
README.md
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- remote-sensing
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#
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## Model description
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## Intended uses & limitations
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## How to use
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## Training data
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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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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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pytorch_model.bin
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size 181420467
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version https://git-lfs.github.com/spec/v1
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size 181420467
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