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07/21/2022
Reinforcement learning for Energies of the future and carbon neutrality: a Challenge Design
Current rapid changes in climate increase the urgency to change energy p...
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10/21/2021
Learning to run a power network with trust
Artificial agents are promising for realtime power system operations, pa...
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12/21/2020
Adversarial training for continuous robustness control problem in power systems
We propose a new adversarial training approach for injecting robustness ...
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12/03/2020
Towards an AI assistant for human grid operators
Power systems are becoming more complex to operate in the digital age. A...
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11/26/2020
Exploring grid topology reconfiguration using a simple deep reinforcement learning approach
System operators are faced with increasingly volatile operating conditio...
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12/05/2019
Learning to run a power network challenge for training topology controllers
For power grid operations, a large body of research focuses on using gen...
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08/22/2019
LEAP nets for power grid perturbations
We propose a novel neural network embedding approach to model power tran...
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05/03/2018
Optimization of computational budget for power system risk assessment
We address the problem of maintaining high voltage power transmission ne...
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05/03/2018
Anticipating contingengies in power grids using fast neural net screening
We address the problem of maintaining high voltage power transmission ne...
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01/30/2018
Fast Power system security analysis with Guided Dropout
We propose a new method to efficiently compute load-flows (the steady-st...
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11/13/2017
Large-scale power grid hierarchical segmentation based on power-flow affinities
The segmentation of large scale power grids into zones allows a better u...
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09/27/2017