The Super-Resolution for Renewable Resource Data (sup3r) software uses generative adversarial networks to create synthetic high-resolution wind and solar spatiotemporal data from coarse low-resolution inputs.

SCADA data pre-processing library for prognostics, health management and fault detection of wind turbines. Successor to https://github.com/lkev/wt-fdd

Energinets Model Testbench. Automate gridcompliance studies in PSCAD and Powerfactory.

Command line tools for creating models of composite wind turbine blades

Physics-guided data-driven solutions for the wind energy industry

Windfarm Operations & Maintenance cost-Benefit Analysis Tool

☴ Statistics for your wind power projects

Offshore Wind Farm Lifecycle Estimation

The python SDK for @octue services and digital twins.

https://dtail.gitbook.io/zephyr/

Airborne Wind Energy Resource Analysis tool (AWERA) is meant to provide wind resource classification/representation and power harvesting estimation for AWES. It builds on wind profile clustering techniques used by Mark Schelbergen (TU Delft).

Python IEA task 43 parsers for NRG SymphoniePRO loggers

How to create a choropleth map, assigning your data of interest based on geographical distribution.

Data influx for Aerosense.

via-wind: A Visual Impact Assessment Tool for Wind Turbines

Python and Paraview postprocessing tools for use with NREL's SOWFA

Wind roses and Atlas maps generator per municipality for Historical Hourly Wind Records of Mainland Portugal, Açores, and Madeira (2018–2023).

A Python wind farm layout optimization package

This class converts and joins netcdf files from the Tall Tower database into a csv file

Data imputation with collaborative filtering and latent factor models for wind farms time series data