xuwkk/AAA_Load_Forecast

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Python
Created almost 2 years ago
Updated almost 2 years ago

xuwkk/AAA_Load_Forecast

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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).

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'

Jupyter Notebook

gen_pandapower_pv

Network generation for paper Multi-Agent Reinforcement Learning for Active Voltage Control on Power Distribution Networks.

Robust_MTD

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

steady-state-power-system

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

Jupyter Notebook

task_aware_machine_unlearning

This repo contains data and code for Task-Aware Machine Unlearning with Application to Load Forecasting.

adversarial_training_cifar

Implement the PGD-AT and TRADES for robust ResNet on CIFAR-10

Anomaly-Detection-And-Forecasting

E2E-AT

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.

frequency_sample_ad

power_system_operation

This repo contains some basic power system operations written in Python and formulated by cvxpy.

blog_code

blog