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@Digitalized-Energy-Systems

Digitalized Energy Systems

We are a research group of the University of Oldenburg in Germany dedicated to the resilient operation of digitalized energy systems.

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  1. opfgym opfgym Public

    A gymnasium-compatible framework to create reinforcement learning (RL) environment for solving the optimal power flow (OPF) problem. Contains five OPF benchmark environments for comparable research.

    Python 11 1

  2. rl-opf-env-design rl-opf-env-design Public

    Repository for the publication "Learning the Optimal Power Flow: Environment Design Matters".

    Python 6 1

  3. marl_clearing_and_bidding marl_clearing_and_bidding Public

    Accompanying repository to publication "Approximating Energy Market Clearing and Bidding With Model-Based Reinforcement Learning"

    Python 3

  4. monee monee Public

    Framework for calculating the steady-state energy flow and for solving optimization problems in coupled energy grids (gas, heat, electricity)

    Python 1

  5. heat-electricity-storage-cohda heat-electricity-storage-cohda Public

    Code for the Paper "Coordination of Storage, Electrical, and Heating Resources by Self-Interested Agents"

    Python 1

  6. MOO-CPES MOO-CPES Public

    Multi-Objective Optimization in Cyber-Physical Energy Systems

    Python 1

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