Simulation of High Aspect Ratio aeroplanes and wind turbines in Python: a nonlinear aeroelastic code

AMReX-based structured wind solver

Wind turbine fault prediction using machine learning

A Comprehensive Julia implementation of the Vortex Lattice Method

Dashboard designed to demonstrate the power of Machine Learning to predict failures (Remaining Useful Life (RUL)) in wind turbines. To predict the date when equipment will completely fail (RUL), XGBoost is used and achieved RMSE error is 0.033964 days, which is highly accurate.

Controllers designed to the 5MW NREL wind turbine using Simulink and Fast V8

In this project, I have employed various regression techniques to estimate the Power curve of an on-shore Wind turbine. Nonlinear trees based ensemble regression methods perform best as true power curve is nonlinear. I have implemented and optimized XGBoost using GridSearchCV that yields lowest Test RMSE-6.404.

Wind turbine fault detection using one class SVM

Provides Home Assistant sensors for multiple wind turbines from the Windcentrale

Structural Health Monitoring of Wind Turbines

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

Wind Energy : A Practical Power Analysis Approach - Open Sourced Code for the Research Paper published in IEEE.

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

Basic design routine for domestic wind turbine design

Wind Turbine Placement Optimization in Switzerland is a project dedicated to achieving sustainable energy goals through intelligent wind turbine placement, optimizing geographical parameters with Google OR tools. Created as a course project in Sustainable Management and Technology

Welcome to the repo for our 2025 UiA Master Thesis - Anomaly Detection in Wind Turbine SCADA Data Using Tsetlin Machine Autoencoder and Classifier 🔬

Welcome to FlyWaySafe, a user-centric platform designed within the Dash framework to ensure a seamless experience for data science experts and beginners alike. By leveraging Python, our platform removes the complexity of web development, providing an accessible and powerful tool for ecological conservation through wind energy optimization.

Ensure cleaner and more efficient energy for all while upholding sustainability, prioritizing renewability and adopting eco-friendly practices.

Excel implementation of statistical models for optimal yaw angle estimation in tandem wind turbines, maximizing power output under wake interaction.