| language: en | |
| license: mit | |
| library_name: pytorch | |
| # PVNet India | |
| ## Model Description | |
| <!-- Provide a longer summary of what this model is/does. --> | |
| This model class uses numerical weather predictions from providers such as ECMWF to forecast the PV power in North West India over the next 48 hours. More information can be found in the model repo [1] and experimental notes [here](https://github.com/openclimatefix/PVNet/tree/main/experiments/india). | |
| - **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 data from 2019-2022 and validated on data from 2022-2023. See experimental notes [here](https://github.com/openclimatefix/PVNet/tree/main/experiments/india) | |
| ### Preprocessing | |
| Data is prepared with the `ocf_datapipes.training.pvnet_site` datapipe [2]. | |
| ## Results | |
| The training logs for the current model can be found here: | |
| - [https://wandb.ai/openclimatefix/india_pv_v2/runs/6e9vqmr4](https://wandb.ai/openclimatefix/india_pv_v2/runs/6e9vqmr4) | |
| ### Hardware | |
| Trained on a single NVIDIA Tesla T4 | |
| ### Software | |
| - [1] https://github.com/openclimatefix/PVNet | |
| - [2] https://github.com/openclimatefix/ocf_datapipes |