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@EINS-TUDa

Energy Information Networks & Systems lab

Low-carbon energy systems that are technically reliable, economically sensible, and secure against intentional cyber attacks will be critical for our future.

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  1. DNN_MCMC4DH DNN_MCMC4DH Public

    Deep Learning-enabled MCMC for Probabilistic State Estimation in District Heating Grids

    Jupyter Notebook 2 2

  2. CESM CESM Public

    Compact Energy System Modeling Tool

    Python 1 1

  3. DNN_SOC4DHS DNN_SOC4DHS Public

    Code basis for the paper Stochastic Optimal Control for Nonlinear Systems based on Sampling & Deep Learning by A. Bott, K.. Kuroptev and F. Steinke

    Python 1

  4. DHS-ThermoHydraulicOscillations DHS-ThermoHydraulicOscillations Public

    This repository contains the Python-scripts and Modelica-files used for pole-zero plots and dynamic simulations for the paper "Stability Analysis and Mitigation of Thermo-Hydraulic Oscillations in …

    Modelica 1

  5. PSCC2024-SwitchSelection PSCC2024-SwitchSelection Public

    A tool that solves a variation of the SwitchSelection problem for MV distribution grids. This repository accompanies our contribution to PSCC 2024.

    Rust 1

  6. CompetitiveLEM CompetitiveLEM Public

    Game-theoretic analysis of suppliers’ pricing power in thermal-electric local energy markets

    Python

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