Wind Energy Python Packages

wombat

Windfarm Operations & Maintenance cost-Benefit Analysis Tool

nrel-sup3r

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.

openfast-io

Main repository for the NLR-supported OpenFAST whole-turbine and FAST.Farm wind farm simulation codes.

waves

Offshore Wind Farm Lifecycle Estimation

wind-stats

☴ Statistics for your wind power projects

zephyr-ml

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

dwind

The Distributed Wind Market Demand (dWind) model simulates customer adoption of distributed wind for residential, commercial, and industrial entities in the United States.

welib

Wind energy library, python and matlab tools for wind turbines analyses

scada-data-analysis

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

nlr-sup3r

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.

wtphm

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

wamuu

Support tool, offers a set of Python classes designed for forecasting optimal wind turbine placements and efficient cable connections in wind energy systems.