REStats is a Python package that provides tools and models for analyzing and predicting the
performance of hybrid systems. It couples wind speed forecasts with power curve
prediction, offering a modular framework for robust analysis and decision-making under uncertainty.
- Wind speed Weibull distribution fitting
- Wind speed data preprocessing utilities
- ARMA wind speed and wind direction forecast modeling
- Power curve outlier filtering utilities
- Gaussian Process Regression power curve prediction
- Simulations for wind power forecasting applied to Proton Exchange Membrane (PEM) hydrogen electrolyzer production
- Plotting and visualization utilities
pip install git+https://github.com/camirmas/REStats
Examples may be found in the notebooks directory. Documentation is hosted via Read the Docs:
https://restats.readthedocs.io/en/latest/
The data for the examples comes from the Kelmarsh Wind Farm in the UK: