openclimatefix/pvnet_uk_region

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 2019-2021 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:

• https://wandb.ai/openclimatefix/pvnet2.1/runs/u0bc3fi9

Hardware

Trained on a single NVIDIA Tesla T4

Software

This model was trained using the following Open Climate Fix packages:

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

The versions of these packages can be found below:

• pvnet==5.0.0.post1+git.f4f6bfed.dirty
• ocf-data-sampler==0.3.1