Antoine Marot / RTE

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  • antoine.marot@rte-france.com

    • Title: Learning to run a power network in a sustainable world Part I: The RTE competition and problem definition

    Date: July 23, 2020

    Bio: Antoine Marot is the lead AI scientist at RTE. He owns a double master degree in Engineering from Ecole Centrale Paris and Stanford University. After interning at Tesla Motors, he joined RTE R&D on the Apogee project 6 years ago with the long term goal to develop a personal assistant for control room operators with AI. Through collaboration with INRIA (the french AI research lab), he supervised several PHD students on augmented power system simulators with AI and on Human-Intelligent Machine interactions with a strong focus on interpretability. He recently co-authored several papers using AI for power systems and gave different talks on the topic such as IJCNN AI conference keynote. He advocates for a new "AI for power system community" bringing together researchers from both fields to accelerate the application of AI. The « Learning to Run a Power Network « challenge which will run along NeurIPS 2020, the largest AI conference, is a strong step forward towards it.

    Abstract: On the way towards a sustainable future, this competition aims at unleashing the power of reinforcement learning for a real-world industrial application: controlling electricity power transmission and moving closer to truly “smart” grids using underutilized flexibilities. In track 1, develop your agent to be robust to unexpected events and keep delivering reliable electricity everywhere even in difficult circumstances. In track 2, develop your agent to adapt to new energy productions in the grid with an increasing share of less controllable renewable energies over years.

    Learning Materials: Talk Flyer Talk Slides

    Interacting Materials:

    1. Papers
      1. Review of Power System Distribution Network Architecture
      2. Defining power network zones from measures of electrical distance
      3. Power Networks: The Digital Approach
      4. Energy network: towards an interconnected energy infrastructure for the future
      5. Electricity Networks: Technology, Future Role and Economic Incentives for Innovation
    2. Videos
      1. You aren't my electricity supplier - who are you?
      2. Aircraft Power Network
      3. What is AI (Artificial Intelligence)?
      4. A.I. Experiments: Making it easier for anyone to explore A.I.
      5. What is Natural Language Processing? | Accenture
    3. Data


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