A directory and analysis of the open source ecosystem in the areas of climate change, sustainable energy, biodiversity and natural resources.
-
Updated
Jul 12, 2024
A directory and analysis of the open source ecosystem in the areas of climate change, sustainable energy, biodiversity and natural resources.
Main repository for the NREL-supported OpenFAST whole-turbine and FAST.Farm wind farm simulation codes.
An interactional aerodynamics and acoustics solver for multirotor aircraft and wind energy
Repository containing OpenAFPM wind turbine CAD model.
Python and Paraview postprocessing tools for use with NREL's SOWFA
Blade Element Momentum Method for Propellers and Turbines
"Wind Power Predictor" is a machine learning project that forecasts turbine output using real-time data from Turkish wind farms. Its web app interface offers convenient access to predictions, enabling informed decisions for maximizing energy production and advancing renewable energy usage.
Machine Learning Engineering Spring 2024 Project
A Machine Learning tutorial on wind turbines data
Online Wake Rapid Dynamic Simulator
Design of a renewable energy source power plant that integrates photovoltaic (PV) modules and wind turbines, collectively contributing a maximum power output of 60 kW to the grid.
Tutorial for the aerodyn software for teaching in ENERGI210
Industry Solution, to capture telemetry of remote wind farm turbines, analyse patterns and visualise KPI (Key Performance Indicator) values in 3D scene of the Azure Digital Twins.
wind turbine fault detection based on machine learning techniques and knowledge transfer
Physics-guided data-driven solutions for the wind energy industry
Yaw misalignment calibrator of wind turbine using RNN and Kalman filter
Fuhrländer FL2500 2.5MW wind turbine dataset + pre-processing functions R MATLAB
"Serious game" en Flash sur l'instruction d'un permis de construire un parc éolien. Projet de fin d'étude à l'Ecole Nationale des Techniciens de l'Equipement
Open source implementation of the legacy GHBladed external controller interface.
BACHELOR THESIS. Detect wind turbine errors using a hybrid model. Utilize ML, DL, edge computing. Dataset, neural network optimized with genetic algorithms. Low computational power ML models. Data is stored in the cloud. Turbine status via secure APIs. Password encryption. GRASP, SOLID
Add a description, image, and links to the wind-turbine topic page so that developers can more easily learn about it.
To associate your repository with the wind-turbine topic, visit your repo's landing page and select "manage topics."