Wangkun Xu
xuwkk
Research Associate at Imperial College London. Working on ML for power system. Previously PhD from Imperial and interned at Mediatek Research UK.
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Top Repositories
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).
Network generation for paper Multi-Agent Reinforcement Learning for Active Voltage Control on Power Distribution Networks.
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"
Official repo for "LAPSO: A Unified Optimization View for Learning-Augmented Power System Operations".
This repo contains data and code for Task-Aware Machine Unlearning with Application to Load Forecasting.
Repositories
23Power 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).
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'
GridForge is an automatic power system configuration, data, and optimization generator, designed to help power system researchers to quickly generate testbeds for optimization and machine learning studies.
Code for the Introduction to Machine Learning tutorials of MECH70039: Data Science and Digitalisation in the Energy Sector, MSc in Sustainable Energy Futures, Energy Future Lab, Imperial College London.
This is my personal website. Please directly go to https://xuwkk.github.io/wangkun_xu/
Implement the PGD-AT and TRADES for robust ResNet on CIFAR-10
A Python-embedded modeling language for convex optimization problems.
No description provided.
Network generation for paper Multi-Agent Reinforcement Learning for Active Voltage Control on Power Distribution Networks.
No description provided.
cvxpy_summary is a lightweight utility package for inspecting and debugging CVXPY optimization models.
Official repo for "LAPSO: A Unified Optimization View for Learning-Augmented Power System Operations".
This repo contains data and code for Task-Aware Machine Unlearning with Application to Load Forecasting.
This repo contains some basic power system operations written in Python and formulated by cvxpy.
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.
This is the official repo for the paper E2E-AT: A Unified Framework for Tackling Uncertainty in Task-aware End-to-end Learning, to be appeared in AAAI-24.
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This repository is for an open-source environment for multi-agent active voltage control on power distribution networks (MAPDN).
No description provided.
A fast and differentiable QP solver for PyTorch.