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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.
Delft, Netherlands
Joined January 2022
196 Following
191 Followers
142 Posts
Β Pinned Tweet
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
Our paper, "A hybrid curriculum learning and tree search approach for network topology control" is accepted in EPSR journal! π
https://t.co/P5nnKMjjwQ
The hybrid CL and MCTS approach improves RL training and efficiency, and finds long-term strategies. β‘οΈ
Cheers to an amazing night out with our group! π»
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!
Who to follow
Yize Chen
@YZChen_Yize
Assistant professor at HKUST; PhD from UWashington, postdoc at Berkeley Lab
Linwei Sang
@sanglinwei21
Associate Professor in SEU, Ph.d in THU @Tsinghua_Uni, visiting scholar in UCB @UCBerkeley, energy systems analytics via fusing AI and OR.
JΓ‘n DrgoΕa 
@jan_drgona
Associate professor @JohnsHopkins, data scientist @PNNLab. Formerly at @KU_Leuven, @ClimateChangeAI. #SciML #PIML #control #energy #sustainability
Haiwei Xie presenting her research "Game-Theoric Learning for Power System Dynamic Ancillary Service Provisions" at @IEEECDC2024 Milan last week.
Paper: https://t.co/3s3xhHZtzq
π Congratulations to Thomas Lautenbacher on successfully defending his master's thesis, titled "Multi-objective reinforcement learning for power grid topology control"!π
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
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)
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)
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)
... 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
Our paper, "Polynomial Line Outage Distribution Factors for Estimating Expected Congestion and Security," is accepted in IEEE Transactions on Power Systems! π
https://t.co/HXNfTYxYu5
...
π₯Demetris explaining his research on "Estimating the flexibility in distribution networks to support TSO-DSO operation". β‘
#DAIELab_members
Check out Demetris' latest paper on "Tensor Convolution-Based Aggregated Flexibility Estimation in Active Distribution Systems" in IEEE TSG! π
https://t.co/am0ScIQjog
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: https://t.co/xeHZFdDhim
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
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
3-Β ππ¨π¬πππ¨π ππ©π©π₯π’ππ ππ«π¨ππππ’π₯π’ππ² ππ‘ππ¨π«π² ππ¨π« ππππ‘π’π§π ππππ«π§π’π§π πππ¬π€π¬ π’π§ ππ¨π¦π©π₯ππ± ππ§ππ«π π² ππ²π¬πππ¦π¬
https://t.co/6zKLYcMhIu
1-Β ππ‘π ππ¨π¬π’ππ’π¨π§ "ππππ‘π’π§π ππππ«π§π’π§π ππ¨π« ππ§ππ«π π² ππ²π¬πππ¦ πππππ ππ¬ππ’π¦πππ’π¨π§" ππ¬ π©ππ«π of our @ic4ai ICAI AI for Energy Grids Lab with @Alliander.
https://t.co/kbZqVh6aIy
...
2-Β ππ‘π ππ¨π¬π’ππ’π¨π§ πππ«π€π¨π― ππππ’π¬π’π¨π§ ππ«π¨πππ¬π¬ ππ¨π« ππ¨π°ππ« ππ²π¬πππ¦ ππ¨π©π¨π₯π¨π π’πππ₯ ππππ’π¨π§π¬ https://t.co/MnNIfQwvW7
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