Edaizi's Stars
phodal/github
GitHub 漫游指南- a Chinese ebook on how to build a good project on Github. Explore the users' behavior. Find some thing interest.
thuml/Time-Series-Library
A Library for Advanced Deep Time Series Models.
MathFoundationRL/Book-Mathematical-Foundation-of-Reinforcement-Learning
This is the homepage of a new book entitled "Mathematical Foundations of Reinforcement Learning."
zjukg/KG-LLM-Papers
[Paper List] Papers integrating knowledge graphs (KGs) and large language models (LLMs)
InternLM/Tutorial
LLM&VLM Tutorial
OpenFAST/openfast
Main repository for the NREL-supported OpenFAST whole-turbine and FAST.Farm wind farm simulation codes.
pkumod/gAnswer
A KBQA system based on DBpedia.
jwk1rose/RL_Learning
NREL/floris
A controls-oriented engineering wake model.
NREL/OpenOA
This library provides a framework for assessing wind plant performance using operational assessment (OA) methodologies that consume time series data from wind plants. The goal of the project is to provide an open source implementation of common data structures, analysis methods, and utility functions relevant to wind plant OA.
NREL/SOWFA
gabrielStanovsky/oie-benchmark
Framework for converting QA-SRL to Open-IE and evaluating Open IE parsers.
zhbink/2017-IndustryBigData
2017工业大数据 风机叶片预测
WISDEM/WEIS
Wind Energy with Integrated Servo-controls Toolset
NREL/flasc
A rich floris-driven suite for SCADA analysis
soanagno/wakenet
Offshore wind farm wake modelling using deep feed forward neural networks for active yaw control and layout optimisation
TUDelft-DataDrivenControl/WFSim
A control-oriented medium-fidelity wind farm model based on the unsteady 2D Navier-Stokes equations
OpenFAST/openfast_toolbox
Miscellaneous Python tools for OpenFAST
What-a-mess/Wind-Turbine-SCADA-Anomaly-Detection
Je-Ba/Wind-farm-wake-control-using-convolutional-neural-networks
fg320/DEASC
A data-integrated framework for wake steering control of wind farms.
Paul1994H/PCE-surrogates-for-power-and-loads-under-wind-farm-control
The code is part of the development to create fast and reliable surrogate models for yaw-based wind farm control. The surrogates, based on polynomial chaos expansion, are built using high fidelity flow simulations combined with aeroelastic simulations of the turbine performance and loads. The code is still in development and will be updated on a continuous basis
Yubo-Huang/maobc
Multi-agent offline behavior clone for wind farm control
Yubo-Huang/maobi
Code for the paper 'Wind Farm Control via Offline Reinforcement Learning with Adversarial Training'
Yubo-Huang/RL-based-WindFarmControl
This repo is the code implementation of the paper titled "Reinforcement Learning-based Control of Wind Farm Composed of Hydrostatic Wind Turbines"