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license: mit |
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tags: |
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- nowcasting |
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- forecasting |
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- timeseries |
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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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[More information needed] |
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## Limitations and bias |
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[More information needed] |
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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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[More information needed] |
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## Evaluation results |
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[More information needed] |
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