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

A library of power system component models written in the Modelica language that can be used for power system dynamic analysis, such as phasor time-domain simulations.

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

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

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.

multilayer network for power grid with multiple voltage levels

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

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

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

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

Electrification Futures Insight (EF-Insight)

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

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

Dynamical model for power grid frequency fluctuations

Interactive visualization of the U.S. energy grid - mapping renewable generation, power outages, and severe weather damage

MADS Capstone - Power Grid Protagonists

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.

SLAC GISMo Grid Tools

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