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Energy Information Networks & Systems lab (EINS-TUDa)

Energy Information Networks & Systems lab

EINS-TUDa

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

Location:Germany

Home Page:https://www.eins.tu-darmstadt.de/

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Energy Information Networks & Systems lab's repositories

DNN_MCMC4DH

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

Language:Jupyter NotebookLicense:MITStargazers:2Issues:0Issues:0

CESM

Compact Energy System Modeling Tool

Language:PythonLicense:MITStargazers:1Issues:0Issues:0

DNN_SOC4DHS

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

Language:PythonLicense:GPL-3.0Stargazers:0Issues:0Issues:0

PSCC2024-SwitchSelection

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

Language:RustLicense:NOASSERTIONStargazers:0Issues:1Issues:0