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

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

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

multilayer network for power grid with multiple voltage levels

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.

Electrification Futures Insight (EF-Insight)

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

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.

SLAC GISMo Grid Tools