FlexLab
AI Lab for Flexible Energy Grids
FlexLab is an AI innovation lab that creates sustainable and societal impact by applying advanced AI technologies to enable flexible electricity consumption and ensure that this flexibility can be used to resolve congestion in medium- and low-voltage power grids. FlexLab achieves this by providing a secure environment in which startups and SMEs can test and validate their flexible energy solutions together with value-chain partners.
In addition, FlexLab develops expertise in core AI technologies required for flexible electricity consumption and evaluates these technologies through short-cycle innovation trajectories. This approach helps address grid congestion effectively, improve grid reliability and stability, and contribute to the energy transition toward a CO2-neutral Netherlands by 2050.
An initial prototype will be developed to apply Bayesian networking and deep reinforcement learning to behind-the-meter energy control. Bayesian networking increases the reliability of behind-the-meter energy management, and this work is carried out in collaboration with Zympler (formerly known as Simpl.Energy).
Thijs van de Laar
Assistant professor
I am an assisant professor at BIASlab, where I work on artificial agents that learn to control themselves in uncertain environments. I take inspiration from physics and neuroscience, and develop theory and (software) tools that allow for efficient, real-time interaction.
Peter Verleijsdonk
Postdoctoral researcher
I am a postdoc at Eindhoven University of Technology within the BIASlab.