FANFARE stands for ‘Fast Assessment Numerical tool for Frequency Analysis of Renewable Energy integration scenarios’ and can be applied to power system timeseries data of both real and simulated scenarios. The code automatically reads in Energinet data, but can also be set up to read any other timeseries data in pandas dataframe format.
Written and tested in iPython 6.4.0, the code comes with 5 tutorials in jupyter notebook format, see more here:
https://kpolsen.github.io/FANFARE/tutorials.html
Do not hesitate to contact me regarding any bugs you may find!
Updates since v1.0.0:
- improved sql query, that loads the most recent timestamps first