metadata
language: en
license: mit
library_name: pytorch
PVNet2
Model Description
This model class uses satellite data, numerical 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 2019-2022 and validated on data from 2022-2023. 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:
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