---
language: en
library_name: pytorch
license: mit
---
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Do not remove elements like the above surrounded by two curly braces and do not add any more of them. These entries are required by the library and are automaticall infilled when the model is uploaded to huggingface
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<!-- Title - e.g. PVNet-summation -->
# PVNet_summation

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## Model Description

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This model uses the output predictions of PVNet to predict the sum from predictions of the parts
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This model class sums the output of the PVNet model's GSP level predictions to make a national forecast of UK PV output. More information can be found in the model repo [1], the PVNet model repo [2]

- **Developed by:** openclimatefix
- **Language(s) (NLP):** en
- **License:** mit

# Training Details

## Data

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The model is trained on data from 2019-2022 and validated on data from 2022-2023. It uses the
output predictions from PVNet - see the PVNet model for its inputs

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The model is trained on the output predictions of our PVNet model which gives GSP (i.e. UK regional) level predictions of solar power across Great Britain. This model is trained to take those predictions and use them to estimate the national total with uncertainty estimates. 

The model is trained on data from 2019-2021 and validated on data from 2022. It uses the
output predictions from PVNet - see the PVNet model for its inputs

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### Preprocessing

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Data is prepared with the `ocf_data_sampler/torch_datasets/datasets/pvnet_uk` Dataset [2].
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## Results

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The training logs for this model commit can be found here:
 - [https://wandb.ai/openclimatefix/pvnet_summation/runs/qz4wasci](https://wandb.ai/openclimatefix/pvnet_summation/runs/qz4wasci)


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### Hardware
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Trained on a single NVIDIA Tesla T4
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Trained on a single NVIDIA Tesla T4


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### Software

This model was trained using the following Open Climate Fix packages:

- [1] https://github.com/openclimatefix/pvnet-summation
- [2] https://github.com/openclimatefix/ocf-data-sampler

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The versions of these packages can be found below:
 - pvnet_summation==1.0.1.post0+git.13031a6b.dirty
 - ocf-data-sampler==0.5.26.post2+git.90ee263d.dirty