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. Additionall...
Main repository for the NLR-supported OpenFAST whole-turbine and FAST.Farm wind farm simulation codes.
A curated list of open wind turbine data sets and corresponding code
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.
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
Data portal for NREL's Renewable Energy Potential Model.
PCC-driven P2Z collector system aggregation for disaggregated plants in PSS/E (wind, solar, BESS, hybrid)
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
The potential for repowering US wind turbines
Comparative analysis of LSTM, XGBoost, Random Forest, SVR, and SARIMAX for wind power prediction using real-world turbine data. Covers preprocessing, time series modeling, and performance benchmarking.
Vue3 + Three.js 风电数字孪生监控大屏 | 3D 风机拆解交互 | ECharts 数据面板 | 工业可视化 Demo
German wind energy forecasting framework using Python and XGBoost. Features an advanced Wide-to-Long pipeline and chronological validation. Minimizes prediction errors by 37 MW, preventing costly over-generation and optimizing reserve-capacity allocation to ensure grid stability and maximize clean energy revenue.
End-to-end Wind Power Ramp Forecasting using VMD, XGBoost and Streamlit Dashboard.
A 3D-printed car project for Young Engineers, demonstrating how wind energy converts into mechanical motion. Features a modular printed body, letting students experiment with different wheel sizes and sail designs to boost performance.
风电光伏功率预测准确率统计工具:本地离线 Excel 自动化脚本,用于两个细则功率预测上报率、短期、超短期、中期准确率月度统计。
Interactive maps of new windmills in Bayern and Germany
XGBoost-based wind power forecasting with multi-height meteorological data
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