Infos pour
Accès direct
UFR
Workshop on Energy Systems: Control and Machine Learning in Action
Date and Venue
Monday, Sep 14th to Tuesday, Sep 15th, 2026
Graduate Center C9 3 map
Saarland University
66123 Saarbrücken
Organizers
Simona Bogoevska | Kathrin Flaßkamp | Lars Grüne
Amine Othmane | Eduard Petlenkov | Benjamin Schäfer
Enver Tatlicioglu
Invited Speakers
- Dr. Verena Häberle (ETH Zürich, Switzerland): Next-Generation Grid Codes: Towards a New Paradigm for Dynamic Ancillary Services
- Dr. Qiong Huang (KIT, Germany): From Smart Buildings to Smart Grids: Scalable Reinforcement Learning for Next-Generation Energy Systems Control
- Ahmet Köse, PhD (R8 Technologies, Estonia): Practical data-driven control for energy efficient and decarbonized built environment
- Matthias Höger (Siemens Energy, Germany): Machine Learning for Power Plant Start-Up Optimization: The Challenge of (No) Data
- Delphine Bresch-Pietri, PhD (Mines Paris, France): Prediction in wind farm control : from wind estimation to delay-aware online optimization
- Erkan Zergeroglu, PhD (Gebze Tech. University, Turkey): Machine Learning on Uncertain Systems: A concurrent learning based adaptive controller
- Simona Bogoevska, PhD (Ss. Cyril and Methodius University in Skopje, North Macedonia): What Vibrations Can Tell Us: From Time Series to Intelligent Civil Infrastructure
- Enver Tatlicioglu, PhD (Ege University, Turkey): Control of distributed energy storage system integrated power systems with OPAL-RT validation
- Dr.-Ing. Jan Eilbrecht (Robert Bosch GmbH, Germany): Optimization topics in control of residential heat pumps
Program
Monday, September 14th, 2026
| Time | Speaker / Event | Title |
|---|---|---|
| 08:50 | Opening | |
| 09:00 | Qiong Huang | From Smart Buildings to Smart Grids: Scalable Reinforcement Learning for Next-Generation Energy Systems Control |
| 09:45 | Jan Eilbrecht | Optimization topics in control of residential heat pumps |
| 10:30 | Coffee Break | |
| 11:00 | Simona Bogoevska | What Vibrations Can Tell Us: From Time Series to Intelligent Civil Infrastructure |
| 11:45 | Ahmet Köse | Practical data-driven control for energy efficient and decarbonized built environment |
| 12:30 | Poster Pitches | |
| 12:45 | Lunch Break | |
| 14:00 | Poster Session | |
| 15:00 | Erkan Zergeroglu | Machine Learning on Uncertain Systems: A concurrent learning based adaptive controller |
| 15:45 | Coffee Break | |
| 16:15 | Onur Kadem | Machine Learning for Battery Management: From State Estimation to Fast Charging |
| 16:40 | Faraz Shaikh | Energy-Aware Resource Orchestration using Reinforcement Learning in Edge-Cloud Systems |
| 17:05 | Interactive Session: MEET → DISCOVER → CONNECT | |
| 20:00 | Dinner Downtown Saarbrücken at Brauhaus zum Stiefel | |
Tuesday, September 15th, 2026
| Time | Speaker / Event | Title |
|---|---|---|
| 09:00 | Verena Häberle | Next-Generation Grid Codes: Towards a New Paradigm for Dynamic Ancillary Services |
| 09:45 | Matthias Höger | Machine Learning for Power Plant Start-Up Optimization: The Challenge of (No) Data |
| 10:30 | Coffee Break | |
| 11:00 | Interactive Session: MATCH → DEVELOP → COMMIT | |
| 12:30 | Lunch Break | |
| 13:30 | Enver Tatlicioglu | Control of distributed energy storage system integrated power systems with OPAL-RT validation |
| 14:15 | Delphine Bresch-Pietri | Prediction in wind farm control : from wind estimation to delay-aware online optimization |
| 15:00 | Closing | |
Overnight stay
Participants are requested to make their own hotel reservations. The following hotels are recommended for overnight stays:
- Sport Campus: https://sportcampus-saar.de/uebernachtungen/ (Walking distance from University Campus. There are some pre-reserved rooms to which you can refer to by the code "Workshop Energy Systems")
- Hotel Weller: https://weller-hotel.de/
- Hotel Madeleine: https://www.hotel-madeleine.de/
- Intercity Hotel: https://hrewards.com/de/intercityhotel-saarbruecken?wt_mc=seo_listing.ich.yext.saarbruecken.hotel_link.text_cta
- B&B Hotel Saarbrücken: https://www.hotel-bb.com/de/hotel/saarbruecken-hbf
The mentioned hotels can be reached by bus directly from the university.
InterCoML: Interactions between Control Theory and Machine Learning
COST Action CA24136 exploits the deep interconnections between Control Theory (CT) and Machine Learning (ML). It will boost applications of tools from CT to ML and vice versa, and explore the great applicative potential that can be released by combining these two rapidly evolving research areas.