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Delft AI Energy Lab

AI for sustainable, reliable and effective energy systems

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  1. MARL-iDR-Multi-Agent-Reinforcement-Learning-for-Incentive-based-Residential-Demand-Response MARL-iDR-Multi-Agent-Reinforcement-Learning-for-Incentive-based-Residential-Demand-Response Public

    Code for the paper "MARL-iDR: Multi-Agent Reinforcement Learning for Incentive-based Residential Demand Response"

    Python 28 6

  2. Deep-Statistical-Solver-for-Distribution-System-State-Estimation Deep-Statistical-Solver-for-Distribution-System-State-Estimation Public

    Implementation of Deep Statistical Solver for Distribution System State Estimation

    Python 21 4

  3. Workshop_AI_for_Intelligent_Energy_Systems Workshop_AI_for_Intelligent_Energy_Systems Public

    AI for Intelligent Energy Systems Workshop is a three day workshop hosted by TU Delft DAI Lab. The workshop focuses on the applications of NLP/LLM, GNNS and RL in Energy Systems. The code labs in w…

    Jupyter Notebook 12 10

  4. Flexibility_Under_Low_Observability Flexibility_Under_Low_Observability Public

    Study case for the paper "Exploring Operational Flexibility of Active Distribution Networks with Low Observability"

    Python 3 2

  5. TOPGRID_MORL TOPGRID_MORL Public

    Multi-Objective Reinforcement Learning for Power Grid Topology Control

    Python 2

  6. Constraint-Driven-SCOPF Constraint-Driven-SCOPF Public

    Forked from bastiengiraud/Constraint-Driven-SCOPF

    Jupyter Notebook

Repositories

Showing 7 of 7 repositories
  • TOPGRID_MORL Public

    Multi-Objective Reinforcement Learning for Power Grid Topology Control

    TU-Delft-AI-Energy-Lab/TOPGRID_MORL’s past year of commit activity
    Python 2 MIT 0 0 1 Updated Jan 22, 2025
  • Deep-Statistical-Solver-for-Distribution-System-State-Estimation Public

    Implementation of Deep Statistical Solver for Distribution System State Estimation

    TU-Delft-AI-Energy-Lab/Deep-Statistical-Solver-for-Distribution-System-State-Estimation’s past year of commit activity
    Python 21 4 2 0 Updated Aug 30, 2024
  • Workshop_AI_for_Intelligent_Energy_Systems Public

    AI for Intelligent Energy Systems Workshop is a three day workshop hosted by TU Delft DAI Lab. The workshop focuses on the applications of NLP/LLM, GNNS and RL in Energy Systems. The code labs in workshop have been provided for interested students and researchers.

    TU-Delft-AI-Energy-Lab/Workshop_AI_for_Intelligent_Energy_Systems’s past year of commit activity
    Jupyter Notebook 12 10 0 0 Updated May 29, 2024
  • Split-based-sampling Public Forked from Without-wax/Split-based-sampling

    Code for Split-based sampling for realtime security paper

    TU-Delft-AI-Energy-Lab/Split-based-sampling’s past year of commit activity
    MATLAB 0 MIT 1 0 0 Updated May 7, 2024
  • TU-Delft-AI-Energy-Lab/Constraint-Driven-SCOPF’s past year of commit activity
    Jupyter Notebook 0 2 0 0 Updated Apr 21, 2024
  • MARL-iDR-Multi-Agent-Reinforcement-Learning-for-Incentive-based-Residential-Demand-Response Public

    Code for the paper "MARL-iDR: Multi-Agent Reinforcement Learning for Incentive-based Residential Demand Response"

    TU-Delft-AI-Energy-Lab/MARL-iDR-Multi-Agent-Reinforcement-Learning-for-Incentive-based-Residential-Demand-Response’s past year of commit activity
    Python 28 MIT 6 3 0 Updated Aug 2, 2023
  • Flexibility_Under_Low_Observability Public

    Study case for the paper "Exploring Operational Flexibility of Active Distribution Networks with Low Observability"

    TU-Delft-AI-Energy-Lab/Flexibility_Under_Low_Observability’s past year of commit activity
    Python 3 CC-BY-4.0 2 0 0 Updated Apr 8, 2023

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