PyPSA-Eur: A Sector-Coupled Open Optimisation Model of the European Energy System

🎭 Quebec's 735kv power lines can survive the apocalypse, but can they run TCP?!

A Graph Reinforcement Learning model that combines RL and Graph Neural Networks to solve Dynamic Economic Power Dispatch

This project contains an extensible GAN Framework which can be used to generate power grid related data for simulations.

Code and data for "Recovery Coupling in Multilayer Networks" ( https://doi.org/10.1038/s41467-022-28379-5)

A Python implementation of signal-power integrity co-analysis framework for inter-chiplet links.

Suite of scripts developed to emulate operational technologies and industrial control systems.

multilayer network for power grid with multiple voltage levels

Interactive CGMES XML translation to OpenIPSL using XSLT running in EditiX.

Spire is an intrusion-tolerant SCADA system for the power grid.

大数据分析：电力需求

Power system .dyr data parser

Electrification Futures Insight (EF-Insight)

Factorio 2.0 mod that automatically optimizes power pole wiring using Kruskal's MST algorithm

Research implementation of Meta-Learning (MAML) in Multi-Agent Reinforcement Learning (MARL) for power grid control using L2RPN. This project explores how meta-learning can improve agent adaptation across varying grid topologies and operational scenarios, aiming for safer and more efficient grid management.

⚡ Power grid attack research | Critical infrastructure | NullSec Framework | @AnonAntics

Website for the 2025 Summer Course on "Introduction to Power System Dynamics, Stability and Control"

Quantifying how heat waves and wildfire smoke interact to affect grid reliability across the U.S.

Submission for HackOHI/O 2025 - American Electric Power (AEP) Challenge

Models used in the paper "Power System Modeling for Identification and Control Applications using Modelica and OpenIPSL" by L. Vanfretti and C.R. Laughman.

Dynamical model for power grid frequency fluctuations

Code and data for network-constrained DC dispatch with load shedding to quantify power shortfall risk under renewable penetration and climate change in Great Britain.

comprehensive machine learning solution for predicting energy consumption in smart grids using historical data and environmental factors. This project helps energy providers optimize grid operations, reduce waste, and prevent blackouts through accurate AI-powered forecasting.

Census tract-level earthquake resilience modeling for the City of Los Angeles power grid that compares substation repair prioritization for network connectivity, service restoration, and equity, using network centrality metrics and k-means census-tract resilience typologies.

A round / phase timer for Power Grid board game

Code Related to Functionality of WattTime API. The WattTime API provides access to real-time, forecast, and historical data for electric grids around the world, including marginal emissions data

Data Center Siting Intelligence MCP Server

MADS Capstone - Power Grid Protagonists

Optimize Factorio power networks by automatically creating clean, minimal wiring using a Minimum Spanning Tree for efficient, organized connections.

SLAC GISMo Grid Tools