Program

The conference program can be found below. It may still be subject to changes. All papers are available here, links to specific papers are available below in sessions description.

Wednesday

Sep 14, 2022

Full day

15:00-17:30

17:30

19:00

Thursday

Sep 15, 2022

08:30-09:00

Check-in

09:00-09:15

Welcome notes

09:15-10:00

10:00-11:00

Session 1

11:00-11:20

Coffee break

11:20-12:20

Session 2

12:20-13:30

Lunch break

13:30-14:50

Session 3

15:00-16:30

Poster session and coffee

(extended abstracts)

15:30-16:30

16:30-18:00

Session 4

19:00

Friday

Sep 16, 2022

08:30-08:45

Check-in

08:45-09:30

09:30-11:00

Session 5

11:00-11:30

Coffee break

11:30-13:00

Session 6

13:00-13:15

Farewell notes

Welcome notes

  • Prof. Dr. Anke Weidlich, general conference chair
  • Prof. Dr. Hans-Martin Henning, Fraunhofer Institute for Solar Energy Systems

Session 1

  • Charitha Buddhika Heendeniya and Lorenzo Nespoli : A stochastic deep reinforcement learning agent for grid-friendly electric vehicle charging management (full paper)
  • Ramin Bahmani, Christine van Stiphoudt, Sergio Potenciano Menci, Michael Schöpf and Gilbert Fridgen : Optimal industrial flexibility scheduling based on generic data format (full paper)

Session 2

  • Matthias Babel, Vincent Gramlich, Marc-Fabian Körner, Johannes Sedlmeir, Jens Strüker and Till Zwede : Enabling End-To-End Digital Carbon Emission Tracing with Shielded NFTs (full paper)
  • Sascha Gritzbach, Dominik Stampa and Matthias Wolf : Solar Farm Cable Layout Optimization as a Graph Problem (full paper)

Session 3

  • Clara Büttner, Jonathan Amme, Julian Endres, Aadit Malla, Ilka Cußmann and Birgit Schachler : Open modeling of electricity and heat demand curves for all residential buildings in Germany (full paper)
  • Dennis Lottis and Anna Kallert : Simulative comparison of concepts for simultaneous control of heat flow and outlet temperature of heat exchangers for highly flexible use in the test facility ”District LAB” (full paper)
  • Paul Eitel and Peter Stolle : A machine learning approach to model the future distribution of e-mobility and it’s impact on the power grid (short paper)
  • Poster presentations (extended abstracts)

Session 4

  • Elisabeth Springmann, Andreas Bruckmeier and Mathias Müller : Performance Evaluation of Smart Meter Infrastructure for Load Management through Grid Operators (short paper)
  • Dejan Radovanovic, Andreas Unterweger, Günther Eibl, Dominik Engel and Johannes Reichl : How unique is weekly smart meter data? (short paper)
  • Ömer Sen, Dennis van der Velde, Maik Lühman, Florian Sprünken, Immanuel Hacker, Andreas Ulbig, Michael Andres and Martin Henze : On Specification-based Cyber-Attack Detection in Smart Grids (full paper)
  • Benedikt Grosch, Heiko Ranzau, Bastian Dietrich, Thomas Kohne, Daniel Fuhrländer-Völker, Johannes Sossenheimer, Martin Lindner and Matthias Weigold : A framework for researching energy optimization of factory operations (short paper)

Session 5

  • Tobias Blanke, Katharina Sophia Schmidt, Joachim Göttsche, Bernd Döring, Jérôme Frisch and Christoph van Treeck : Time series aggregation for energy system design: Review and extension of modelling seasonal storages (full paper)
  • Paul Hendrik Tiemann, Marvin Nebel-Wenner, Stefanie Holly, Emilie Frost, Adrian Jimenez Martinez and Astrid Nieße : Operational flexibility for multi-purpose usage of pooled battery storage systems (short paper)
  • Batoul Hage Hassan, Anand Narayan, Michael Brand and Sebastian Lehnhoff : Virtualization for Performance Guarantees of State Estimation in Cyber-Physical Energy Systems (short paper)
  • Dominik Danner and Hermann De Meer : Max-consensus protocol to determine the regulated node in distributed voltage regulation (short paper)

Session 6

  • Leo Semmelmann, Sarah Henni and Christof Weinhardt : Load forecasting for energy communities: a novel LSTM hybrid model with XGBoost peak load finetuning based on smart meter data (full paper)
  • Maximilian Beichter, Kaleb Phipps, Martha Maria Frysztacki, Ralf Mikut, Veit Hagenmeyer and Nicole Ludwig : Net Load Forecasting using Different Aggregation Levels (full paper)
  • Benedikt Heidrich, Lisa Mannsperger, Marian Turowski, Kaleb Phipps, Benjamin Schäfer, Ralf Mikut and Veit Hagenmeyer : Boost Short-Term Load Forecasts with Synthetic Data from Transferred Latent Space Information (full paper)