Easy Access to the current EPEX market forecast (day-ahead, week-ahead)
Project description
EPEX Forecast (PyPi Access)
Python package: Easy access to current market forecast
epex_forecast provides a minimal Python API to use the forecast API we provided through our research.
Quick Start
Installation
pip install epex_forecast
Minimal Example
Code
from epex_forecast import get_epex_forecast, plot_forecast
forecast_df, meta = get_epex_forecast()
plot_forecast(forecast_df, meta)
Output
meta
{
'region': 'DE',
'modelId': 'Chr2-prob-7step-[96]'
}
forecast_df
ground truth 0 1 2 3 4 5 6
2026-06-27 14:30:00+00:00 66.07 7.489024 33.999275 48.606190 59.912212 70.832802 86.320732 116.122849
2026-06-27 14:45:00+00:00 93.83 25.862049 54.465881 69.106926 80.855072 92.888962 110.560532 143.705048
2026-06-27 15:00:00+00:00 61.97 9.305321 34.496605 45.747437 54.106632 62.524593 74.426704 100.204086
2026-06-27 15:15:00+00:00 98.97 45.468853 73.135429 84.800629 92.647545 100.054573 110.290382 133.064301
2026-06-27 15:30:00+00:00 112.08 57.638866 86.084541 98.290726 106.322433 113.863327 125.216148 150.170151
2026-06-27 15:45:00+00:00 129.40 68.099258 100.683945 114.830284 124.534019 134.235596 148.514236 179.282013
...
plot_forecast
License
Author: LSB (Fraunhofer IPA)
Licence pip package: MIT
Acknowledgements
👨💻 We'd like to thank Guilherme Schmid for his work on a PyPI integration, which served as the foundation for this work.
Project details
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