KeunJuSong

KeunJuSong's Stars

• sungminkangML/FL_Socket

  Federated Learning Implementation using Socket communication

  Language:Python4

• alexe15/ALADIN.m

  Language:MATLAB3513

• mimoralea/gdrl

  Grokking Deep Reinforcement Learning

  Language:Jupyter Notebook807233

• ANL-CEEESA/MIPLearn

  Framework for solving discrete optimization problems using a combination of Mixed-Integer Linear Programming (MIP) and Machine Learning (ML)

  Language:Python14620

• JonasGeiping/breaching

  Breaching privacy in federated learning scenarios for vision and text

  Language:Python26259

• rte-france/Grid2Op

  Grid2Op a testbed platform to model sequential decision making in power systems.

  Language:Python285116

• RahulNellikkath/Physics-Informed-Neural-Networks-for-AC-Optimal-Power-Flow

  This repository contains the code for Physics-Informed Neural Network for AC Optimal Power Flow applications and the worst case guarantees

  Language:Python288

• khalil-research/Multi-Task_Predict-then-Optimize

  Multi-task end-to-end predict-then-optimize

  Language:Jupyter Notebook103

• mlubin/RobustCCOPFSupplement

  Repository containing supplementary data and code for "A Robust Approach to Chance Constrained Optimal Power Flow with Renewable Generation" by Lubin, Dvorkin, and Backhaus

  Language:Matlab2913

• mkhraijah/PowerModelsADA.jl

  A package for solving optimal power flow problems using distributed algorithms.

  Language:Julia306

• exanauts/ExaAdmm.jl

  Julia implementation of ADMM solver on multiple GPUs

  Language:Julia163

• nkpanda97/run_in_hpc

  Examples and tutorials for running your Python based code in High Power Computing (HPC) clusters

  Language:Python43

• nkpanda97/EconomicDispatch

  The following code is a mixed integer linear programming (MILP) optimisation for an multi period economic load dispatch problem. It is implemented using pyomo.

  Language:Jupyter Notebook107

• Power-Systems-Optimization-Course/power-systems-optimization

  Power systems optimization course materials

  Language:Jupyter Notebook15094

• Wendy0601/PCAT-Power-Grid

  Language:Jupyter Notebook1

• RahulNellikkath/Physics-Informed-Neural-Network-for-DC-OPF

  This repository contains the code for Physics-Informed Neural Network for DC Optimal Power Flow applications and the worst case guarantees

  Language:MATLAB236

• udlbook/udlbook

  Understanding Deep Learning - Simon J.D. Prince

  Language:Jupyter Notebook6.1k1.3k

• JinheonBaek/FED-PUB

  Official Code Repository for the paper - Personalized Subgraph Federated Learning (ICML 2023)

  Language:Jupyter Notebook439

• lanl-ansi/PowerModels.jl

  A Julia/JuMP Package for Power Network Optimization

  Language:Julia389145

• chkwon/jpor_codes

  Codes for the book "Julia Programming for Operations Research"

  Language:Julia19278

• TU-Delft-AI-Energy-Lab/Deep-Statistical-Solver-for-Distribution-System-State-Estimation

  Implementation of Deep Statistical Solver for Distribution System State Estimation

  Language:Python154

• TU-Delft-AI-Energy-Lab/Workshop_AI_for_Intelligent_Energy_Systems

  AI for Intelligent Energy Systems Workshop is a three day workshop hosted by TU Delft DAI Lab. The workshop focuses on the applications of NLP/LLM, GNNS and RL in Energy Systems. The code labs in workshop have been provided for interested students and researchers.

  Language:Jupyter Notebook97

• power-grid-lib/pglib-opf

  Benchmarks for the Optimal Power Flow Problem

  Language:MATLAB29883

• lanl-ansi/rosetta-opf

  AC-OPF Implementations in Various NLP Modeling Frameworks

  Language:Julia5211

• sshin23/opf-on-gpu

  Language:Julia84

• snap-stanford/conformalized-gnn

  Uncertainty Quantification over Graph with Conformalized Graph Neural Networks (NeurIPS 2023)

  Language:Python646

• xuwkk/DDET-MTD

  This repo contains all the codes and data for 'Blending Data and Physics Against False Data Injection Attack: An Event-Triggered Moving Target Defence Approach'

  Language:Jupyter Notebook264

• xuwkk/Robust_MTD

  This repo contains code and visualisation for "Robust moving target defence against false data injection attacks in power grids"

  Language:Python164

• xuwkk/steady-state-power-system

  A Python-based steady-state power system operation tool box, inherited from PyPower.

  Language:Jupyter Notebook71

• xuwkk/Visual-Power-Grid

  Power System simulation tool to visualize the steady state power system operation, such as optimal power flow and state estimation. The functions also include generating false data injection (FDI) attacks and detect by using Moving Target Defence (MTD).

  Language:Python387