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 | ||
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)