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

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.

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

Command line tools for creating models of composite wind turbine blades

Windfarm Operations & Maintenance cost-Benefit Analysis Tool

Energinets Powerplant and model testbench. Automate gridcompliance studies in PSCAD and Powerfactory.

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

☴ Statistics for your wind power projects

The python SDK for @octue services and digital twins.

Offshore Wind Farm Lifecycle Estimation

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.

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

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

A Python wind farm layout optimization package

Python scripts for transforming specific metocean datasets from text-based to binary formats and checking them for data quality issues

This model is use to assess the suitability of current and future locations for commercial wind farm construction across the Conterminous United States (CONUS). Aggregated datasets have been prepared for all states and the CONUS. Model script: "LR_Equation_Code.py", "CA_Model_Code.py". Model instructions: "Model Description and Instructions.pdf".