metadata
language: en
license: mit
library_name: pytorch
PVNet2
Model Description
This model class uses satellite data, numericl weather predictions, and recent Grid Service Point( GSP) PV power output to forecast the near-term (~8 hours) PV power output at all GSPs. More information can be found in the model repo [1] and experimental notes in this google doc.
- Developed by: openclimatefix
- Model type: Fusion model
- Language(s) (NLP): en
- License: mit
Training Details
Data
The model is trained on data from 2017-2020 and validated on data from 2021. See experimental notes in the the google doc for more details.
Preprocessing
Data is prepared with the ocf_datapipes.training.pvnet datapipe [2].
Results
The training logs for the current model can be found here on wandb.
The training logs for all model runs of PVNet2 can be found here.
Some experimental notes can be found at in the google doc
Hardware
Trained on a single NVIDIA Tesla T4