openclimatefix / pvnet_v2

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 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:

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

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

Software

• [1] https://github.com/openclimatefix/PVNet
• [2] https://github.com/openclimatefix/ocf_datapipes