AI for Energy Grids Lab – Enschede

A collaboration between Delft University of Technology, the University of Twente, Radboud University, and HAN University of Applied Sciences, working hand-in-hand with Alliander N.V.

Drienerlolaan 5, 7522 NB Enschede Houtlaan 4, 6525 XZ Nijmegen

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The AI for Energy Grids Lab centers its research on its core theme: extending electricity grid capabilities

 

To drive these advancements, the lab leverages key technical AI components, focusing primarily on:

 

  • Decision Making
  • Machine Learning

 

With a commitment to explainable and responsible AI systems.

Sustainable Development Goals

About the lab

The AI for Energy Grids Lab is dedicated to bridging the gap between technical AI research and electricity grid operations to extend grid capabilities.

 

The lab’s mission and vision are to improve the currently limited transportation capability of today’s electricity grid, facilitating the seamless integration of renewable energy and the connection of distributed energy resources, such as photovoltaics and electric vehicles, directly through end-users to accelerate the transition to low-carbon renewable energy.

 

The impact of the lab lies in driving a sustainable energy transition by increasing the capacity of the power grid, reducing CO2 emissions, and making energy transportation more cost-effective.

This is achieved by validating AI breakthroughs directly within the grid operation teams of Alliander, translating research code into practical open-source software with applied sciences partners, and embedding explainable and responsible AI frameworks to ensure safe, fair, and transparent decision-making across critical public infrastructure.

Research projects

Graph neural networks & reinforcement learning – Focuses on using Graph Neural Networks combined with Reinforcement Learning to drastically speed up complex grid planning, switching, and simulation calculations.

State-estimation with AI – Focuses on using AI and Bayesian statistics to improve the accuracy, computational speed, and robustness of electricity grid state estimators for future distribution grids.


Risk-based investments and operation – Focuses on quantifying risks and ranking short-term flexibility market options against traditional network reinforcements when grid capacity is limited. 


Decentralized control of energy flows – Focuses on shifting from centralized systems to decentralized controllers using edge hardware to process data and make decisions locally at station levels.‍

Responsible & trustworthy AI for distribution system operation – Focuses on deploying AI safely, fairly, and ethically within critical grid infrastructure to ensure transparent and autonomous decision-making.

People

Partners

Alliander is a network company that emerged from Nuon, now Vattenfall. Alliander consists of the components Liander , Qirion . Liander, a regional grid operator , provides energy distribution in a third of the Netherlands

Delft University of Technology (TU Delft) is a technical university in Delft. Top education and research are at the heart of the oldest and largest technical university in the Netherlands.

HAN University of Applied Sciences is one of the largest universities of applied sciences in the Netherlands.

Radboud University (RU) is a general university in The Netherlands, active in almost all scientific fields, and one of the leading universities worldwide.

University of Twente is a public technical university located in Enschede, Netherlands.

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