We are excited to announce the official launch of our newest team project, GridKIT, alongside a highly motivated group of five students who are ready to bring full energy and fresh ideas to the table.
 

An Ambitious Vision

GridKIT is far more than a simple demonstration tool. Our team is building an interactive simulation platform that transforms real geographic areas directly into functional grid models. The goal is to provide a powerful, hands-on environment for exploring one of the most pressing challenges of the energy transition.
 

How It Works

The workflow is designed to be both intuitive and technically robust. Users can:

1. 1.Select an area on the map to define the region of interest
2. 2.Configure individual households with parameters such as photovoltaic systems, heat pumps, battery storage, and electric vehicle charging points
3. 3.Run simulations powered by Multi Agent Reinforcement Learning

Tackling the Core Question

At the heart of the project lies a critical question for the future of energy distribution: when and where do controllable consumers need to be curtailed, or "dimmed," in order to prevent local grid bottlenecks? Just as importantly, how do different expansion scenarios influence these outcomes?
By combining geographic data, household level configuration, and advanced AI methods, GridKIT enables researchers, planners, and decision makers to explore these questions in a realistic and interactive way.
 

Strong Early Momentum

The response to the project so far has been overwhelming. It is genuinely exciting to watch modern software development, data modeling, and artificial intelligence converge in one initiative to create tangible impact for the energy transition.