REStats 🌳

Tests Lint Power Curve Model Example

REStats is a Python package that provides tools and models for analyzing and predicting the performance of wind/hydrogen systems. It couples wind speed forecasts with power curve prediction, offering a modular framework for robust analysis and decision-making under uncertainty.

Features

  • 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

Installation

pip install git+https://github.com/camirmas/REStats

Documentation

Examples may be found in the notebooks directory. Documentation is hosted via Read the Docs:

https://restats.readthedocs.io/en/latest/

Data

The data for the examples comes from the Kelmarsh Wind Farm in the UK:

https://zenodo.org/record/7212475

Contents:

Indices and tables