Joined January 2022
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67 Photos and videos
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16 May 2022
Hello World!
We are the Delft-AI-Energy Lab at TU Delft. Here, we aim to investigate how new AI methods can contribute to the management of dynamic energy systems.
Follow us here in twitter and our website for news, events, and exciting AI research in our Lab!
#DelftAIEnergyLab
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3 Feb 2025
Our paper, "A hybrid curriculum learning and tree search approach for network topology control" is accepted in EPSR journal! π
sciencedirect.com/science/arβ¦
The hybrid CL and MCTS approach improves RL training and efficiency, and finds long-term strategies. β‘οΈ
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15 Jan 2025
Cheers to an amazing night out with our group! π»
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9 Jan 2025
Our lab co-founder, Jochen L. Cremer, has been promoted to Associate Professor! π
We're thrilled to celebrate this well-deserved milestone and are grateful for his inspiring leadership!
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30 Dec 2024
Haiwei Xie presenting her research "Game-Theoric Learning for Power System Dynamic Ancillary Service Provisions" at @IEEECDC2024 Milan last week.
Paper: ieeexplore.ieee.org/abstractβ¦
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19 Dec 2024
π Congratulations to Thomas Lautenbacher on successfully defending his master's thesis, titled "Multi-objective reinforcement learning for power grid topology control"!π
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4 Dec 2024
π 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"!π
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11 Nov 2024
We are excited to welcome BetΓΌl Mamudi, who joined our lab as a PhD candidate last month!
Her research focuses on graph-based machine learning to energy system state estimation, in collaboration with industry leader @Alliander within the @IC4AI AI for Energy Grids Lab. ...(1/3)
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11 Nov 2024
BetΓΌl previously obtained her MSc in Data Science from Loughborough University and her BSc in Industrial Engineering, with a specialization in Electrical Power Engineering, from the University of Duisburg-Essen, where she was recognized as the best graduate of her year. (2/3)
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11 Nov 2024
With her prior experience in both academic research and the energy industry, BetΓΌl brings a valuable interdisciplinary perspective to the lab. Driven by a commitment to the energy transition, she aims to contribute to the advancement of sustainable & smart energy solutions. (3/3)
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27 Sep 2024
Our paper, "Polynomial Line Outage Distribution Factors for Estimating Expected Congestion and Security," is accepted in IEEE Transactions on Power Systems! π
ieeexplore.ieee.org/abstractβ¦
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27 Sep 2024
... The proposed approach speeds up LODF calculations for N-k outages, enhancing the reliability and efficiency of power systems amid increasing extreme weather events. β‘π
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5 Sep 2024
Check out Demetris' latest paper on "Tensor Convolution-Based Aggregated Flexibility Estimation in Active Distribution Systems" in IEEE TSG! π
ieeexplore.ieee.org/documentβ¦
4 Sep 2024
I am thrilled to share that our latest research paper, "Tensor Convolution-Based Aggregated Flexibility Estimation in Active Distribution Systems", has been accepted for publication in IEEE Transactions on Smart Grid!
πYou can access the article here: ieeexplore.ieee.org/documentβ¦
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5 Sep 2024
π₯Demetris explaining his research on "Estimating the flexibility in distribution networks to support TSO-DSO operation". β‘
#DAIELab_members
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28 Aug 2024
π₯Our PhD candidate Ali Rajaei on "Machine Learning for Transmission Network Topology Optimization". πThe AI model speeds up solving the topology optimization and identifies busbar splitting actions to relieve grid congestion. β‘
#DAIELab_members
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7 Aug 2024
π₯Our PhD candidate Olayiwola Arowolo on "Accelerating EMT Simulations in Low Inertia Power Grids with ML". π The AI model assesses numerous scenarios and automates EMT simulations to find optimal set points, preventing instability and power quality issues! β‘
#DAIELab_members
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24 Jul 2024
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linkedin.com/jobs/view/39723β¦
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