[!CAUTION] This software is experimental and subject to change.
The animation engine loops through rows in the timeseries data and maps them to transmission or generator geometries.
Follow the instructions here for uploading new scenarios to GridSight.
To set up you will need python3 and node installed locally.
Run docker-compose build
and docker-compose up
Install the gridsight client into your virtual environment.
pip install .
or pip install git+https://www.github.com/NREL/GridSight
To upload the demonstration data run python upload_test_data.py
After uploading data, log in and adjust the layer styles to scale up the generation and transmission radius/width.
This software was developed as part of the National Transmission Planning study.
NREL software record: SWR-24-16
Geometry data was sourced from the Texas2k Series24 datasets. Timeseries data is completely fictional. https://electricgrids.engr.tamu.edu/activsg2000-dynamics-cases-2024/