Federated Learning Implementation using Socket communication

Grokking Deep Reinforcement Learning

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

Breaching privacy in federated learning scenarios for vision and text

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

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

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

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

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

Julia implementation of ADMM solver on multiple GPUs

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

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

Power systems optimization course materials

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

Understanding Deep Learning - Simon J.D. Prince

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

A Julia/JuMP Package for Power Network Optimization

Codes for the book "Julia Programming for Operations Research"

Implementation of Deep Statistical Solver for Distribution System State Estimation

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 w…

Benchmarks for the Optimal Power Flow Problem

AC-OPF Implementations in Various NLP Modeling Frameworks

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

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'

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

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

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) …