Yue-Qinin
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Wind energy library, python and matlab tools for wind turbines analyses
Python package for loads calculation using the DTU 10 MW wind turbine based on Blade Element Momentum theory.
Repository containing the simulation setups and libraries from the thesis 'CFD Simulation of a Floating Wind Turbine with OpenFOAM'.
A coupling library for partitioned multi-physics simulations, including, but not restricted to fluid-structure interaction and conjugate heat transfer simulations.
Visualization - OpenGL - Wind Turbine model
Structural Health Monitoring of Wind Turbines
The code of the paper 'Deep Forecast : Deep Learning-based Spatio-Temporal Forecasting", ICML Time Series Workshop 2017.
Spatiotemporal graph convolutional network for wind speed prediction.
A Library for Advanced Deep Time Series Models.
Wind Speed Prediction using LSTMs in PyTorch (https://arxiv.org/pdf/1707.08110.pdf)
LSTM neural network realizes the prediction of wind speed through the learning of various parameters. It can provide important support for the smooth operation of power system and the optimization …
list of open data wind turbine data sets
Statsmodels: statistical modeling and econometrics in Python
Implementation of the rainflow-counting algorythm in Python
Wrapper around Bladed API and access to binary result files.
Pytorch Implementation of Interaction Networks for Learning about Objects, Relations and Physics
Approaching (Almost) Any Machine Learning Problem中译版，在线文档地址：https://ytzfhqs.github.io/AAAMLP-CN/
A game theoretic approach to explain the output of any machine learning model.
Tools developed in Matlab to access Bladed software output and hand input
A three-variate turbulent wind field (u,v and w components) is simulated in three-dimensions.
All Algorithms implemented in Python
Code to accompany the paper "Constrained Bayesian Optimisation for Automatic Chemical Design" https://pubs.rsc.org/en/content/articlehtml/2019/sc/c9sc04026a
constrained/unconstrained multi-objective bayesian optimization package.
The Large-Eddy Simulation framework from the Turbulence Research Group at Johns Hopkins University
面向开发者的 LLM 入门教程，吴恩达大模型系列课程中文版