wind-power

Makani was a project to develop a commercial-scale airborne wind turbine, culminating in a flight test of the Makani M600 off the coast of Norway. All Makani software has now been open-sourced. This repository contains the working Makani flight simulator, controller (autopilot), visualizer, and command center flight monitoring tools. Additionally, almost all avionics firmware is also included, albeit potentially not in a buildable state, due to the removal of some third-party proprietary code. We hope that this code will be inspirational and useful to the kite-based windpower and wider communities.

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

list of open wind turbine data sets

python scripts for wind turbine data cleaning

Wind Power Prediction with ECMWF Data as Input using Statistical Learning

Repository containing OpenAFPM wind turbine CAD model.

Data portal for NREL's Renewable Energy Potential Model.

HawtC is the upgraded version of OpenHastV6, significantly enhancing the simulation speed of floating offshore wind turbines! It introduces new features, supporting linear and co-rotational nonlinear finite element calculation methods for framework structures. HawtC implements efficient and high-precision simulation calculation methods for flexib

This repository is dedicated to wind turbines power curve modeling, from data cleansing to the actual power curve modeling with various approches.

Probabilistic Wind Power Forecasting with R

A Open-Source Horizontal axis-Aero-Wave-Turbulence Coupling(HawtC) Tool for dynamic simulation of floating offshore wind turbine(FOWT).And supports the dynamic coupling simulation of the tuned mass damper and tuned mass inertia damper for wind turbine blades and towers

The potential for repowering US wind turbines

Results of the study on the wind power potential in Bulgaria, Hungary and Romania (funded by European Climate Foundation, ECF)

Comparative analysis of LSTM, XGBoost, Random Forest, SVR, and SARIMA for wind power prediction using real-world turbine data. Covers preprocessing, time series modeling, and performance benchmarking.