Energy Information Networks & Systems lab
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DNN_MCMC4DH
DNN_MCMC4DH PublicDeep Learning-enabled MCMC for Probabilistic State Estimation in District Heating Grids
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DNN_SOC4DHS
DNN_SOC4DHS PublicCode 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
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CompetitiveLEM
CompetitiveLEM PublicGame-theoretic analysis of suppliers’ pricing power in thermal-electric local energy markets
Python 1
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DHS-ThermoHydraulicOscillations
DHS-ThermoHydraulicOscillations PublicThis 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
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CSO_Segmentation
CSO_Segmentation PublicAccompanying repository containing the near-real-world data sets used in the paper on charging station operator segmentation.
Repositories
- MGA-Compass Public
A Real-time Graphical User Interface for Exploring Near-Optimal Solutions in Macro-Energy Systems
- CSO_Segmentation Public
Accompanying repository containing the near-real-world data sets used in the paper on charging station operator segmentation.
- 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 Multi-Supplier District Heating Systems" by P. Friedrich, K. Kuroptev. T. Huynh and S. Niessen, to be published in MDPI: Energies
- LBM4DH Public
This Repo contains the code base for the paper "Efficient Training of Learning-Based Thermal Power Flow for 4th Generation District Heating Grids" by Andreas Bott, Mario Beykirch, and Florian Steinke
- CompetitiveLEM Public
Game-theoretic analysis of suppliers’ pricing power in thermal-electric local energy markets
- 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
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