Reinforcement Learning using the Actor-Critic framework for the L2RPN challenge (https://l2rpn.chalearn.org/ & https://competitions.codalab.org/competitions/22845#learn_the_details-overview). The agent trained using this code was one of the winners of the challenge. The code runs on the pypownet environment (https://github.com/MarvinLer/pypownet)…

The relevant codes of our work "Revealing Structural and Functional Vulnerability of Power Grids to Cascading Failures".

Nordic44-Nordpool: An Open Data Processing Software Toolset for an Equivalent Nordic Grid Model Matched to Historical Electricity Market Data

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

Demonstration of various grid energy management benchmarks using GEKKO