README.md

---
language: en
library_name: pytorch
license: mit
---






# PVNet_summation

## Model Description

<!-- Provide a longer summary of what this model is/does. -->
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], and experimental notes in [this google doc](https://docs.google.com/document/d/1fbkfkBzp16WbnCg7RDuRDvgzInA6XQu3xh4NCjV-WDA/edit?usp=sharing).

- **Developed by:** openclimatefix
- **Model type:** Fusion model
- **Language(s) (NLP):** en
- **License:** mit


# Training Details

## Data

<!-- This should link to a Data Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->

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.


### Preprocessing

The input data is prepared with the `ocf_data_sampler` [3].


## Results

The training logs for the current model can be found here:
 - [https://wandb.ai/openclimatefix/pvnet_summation/runs/50rkn19f](https://wandb.ai/openclimatefix/pvnet_summation/runs/50rkn19f)


The training logs for all model runs of PVNet_summation can be found [here](https://wandb.ai/openclimatefix/pvnet_summation).

Some experimental notes can be found at in [the google doc](https://docs.google.com/document/d/1fbkfkBzp16WbnCg7RDuRDvgzInA6XQu3xh4NCjV-WDA/edit?usp=sharing)


### Hardware

Trained on a single NVIDIA Tesla T4

### Software

- [1] https://github.com/openclimatefix/PVNet_summation
- [2] https://github.com/openclimatefix/PVNet
- [3] https://github.com/openclimatefix/ocf-data-sampler