Delft AI Energy Lab @DAIEnergyLab
Delft-AI-Energy Lab at TU Delft. Here, we investigate how new AI methods can contribute to the management of dynamic energy systems. tudelft.nl/ai/delft-ai-en… Delft, Netherlands Joined January 2022-
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Our paper, "A hybrid curriculum learning and tree search approach for network topology control" is accepted in EPSR journal! 🎉 sciencedirect.com/science/articl… The hybrid CL and MCTS approach improves RL training and efficiency, and finds long-term strategies. ⚡️
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Cheers to an amazing night out with our group! 🍻
Our lab co-founder, Jochen L. Cremer, has been promoted to Associate Professor! 🎉 We're thrilled to celebrate this well-deserved milestone and are grateful for his inspiring leadership!
Haiwei Xie presenting her research "Game-Theoric Learning for Power System Dynamic Ancillary Service Provisions" at @IEEECDC2024 Milan last week. Paper: ieeexplore.ieee.org/abstract/docum…
🎓 Congratulations to Thomas Lautenbacher on successfully defending his master's thesis, titled "Multi-objective reinforcement learning for power grid topology control"!🌟
🎓 Congratulations to Viviana Kleine on successfully defending her master's thesis, titled "Utilizing Machine Learning for the Prediction of the Hysteresis Factor in Lithium-Ion Batteries Through Incorporation of Driving Cycles"!🌟
🎥Our PhD candidate Ali Rajaei on "Machine Learning for Transmission Network Topology Optimization". 🌟The AI model speeds up solving the topology optimization and identifies busbar splitting actions to relieve grid congestion. ⚡ #DAIELab_members
🎥Our PhD candidate Olayiwola Arowolo on "Accelerating EMT Simulations in Low Inertia Power Grids with ML". 🌟 The AI model assesses numerous scenarios and automates EMT simulations to find optimal set points, preventing instability and power quality issues! ⚡ #DAIELab_members
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