Name: Energy Information Networks & Systems lab
Type: Organization
Bio: Low-carbon energy systems that are technically reliable, economically sensible, and secure against intentional cyber attacks will be critical for our future.
Location: Germany
Blog: https://www.eins.tu-darmstadt.de/
Energy Information Networks & Systems lab's Projects
Compact Energy System Modeling Tool
Deep Learning-enabled MCMC for Probabilistic State Estimation in District Heating Grids
Code basis for the paper Stochastic Optimal Control for Nonlinear Systems based on Sampling & Deep Learning by A. Bott, K.. Kuroptev and F. Steinke
A tool that solves a variation of the SwitchSelection problem for MV distribution grids. This repository accompanies our contribution to PSCC 2024.