PVNet2
Model Description
This model class uses satellite data, and numerical weather predictions to forecast the near-term (~8 hours) PV power output at all GSPs. More information can be found in the model repo [1].
- Developed by: openclimatefix
- Model type: Fusion model
- Language(s) (NLP): en
- License: mit
Training Details
Data
The model is trained on data from 2019-2021 and validated on data from 2022. It uses NWP data from ECMWF IFS model, and the UK Met Office UKV model. It uses also uses inputs from OCF's cloudcasting model
Preprocessing
Data is prepared with the ocf_data_sampler/torch_datasets/datasets/pvnet_uk Dataset [2].
Results
The training logs for the current model can be found here:
Software
This model was trained using the following Open Climate Fix packages:
The versions of these packages can be found below:
- pvnet_summation==1.1.0.post0+git.3b6f1115.dirty
- ocf-data-sampler==0.5.26.post2+git.90ee263d.dirty
