Metadata-Version: 2.4
Name: extreme-tree
Version: 0.1.0
Summary: Estimate nonstationary GEV using tree-based bagging ensemble
Maintainer-email: Buyi Yu <byu9@ncsu.edu>, Buyi Yu <john.buyi.yu@icloud.com>
Project-URL: Homepage, https://github.com/byu9/extreme-tree
Project-URL: Research Paper, https://doi.org/10.1016/j.ijepes.2025.111452
Project-URL: Bug Tracker, https://github.com/byu9/extreme-tree/issues
Requires-Python: >=3.12
Description-Content-Type: text/markdown
Requires-Dist: numpy
Requires-Dist: scipy
Requires-Dist: tqdm

# Nonstationary GEV estimator

This is the companion repository for the paper _Ensemble-based peak demand probability density forecasting with application to risk-aware power system scheduling_.
https://doi.org/10.1016/j.ijepes.2025.111452


## How to install

The package named `extreme-tree` has been published on the Python Package Index

```
pip install extreme-tree
```


## How to Run

For an example, see [`examples/example.ipynb`]()
