Workshop on Energy Systems: Control and Machine Learning in Action

Date and Venue

Monday, Sep 14th to Tuesday, Sep 15th, 2026

Saarland University
Graduate Center 
66123 Saarbrücken

Registration

Please apply via MS Forms Apply here

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):  Model Predictive Control of Combined Cycle Power Plants
  • 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

TimeSpeaker / EventTitle
08:50Opening
09:00Talk 1
Qiong Huang 

From Smart Buildings to Smart Grids: Scalable Reinforcement Learning for Next-Generation Energy Systems Control                        
09:45Talk 2
Jan Eilbrecht
Optimization topics in control of residential heat pumps
10:30Coffee Break
11:00Talk 3
Simona Bogoevska

What Vibrations Can Tell Us: From Time Series to Intelligent Civil Infrastructure
11:45Talk 4
Ahmet Köse

Practical data-driven control for energy efficient and decarbonized built environment
12:30Poster Pitches
TBD
12:45Lunch Break
14:00 Poster Session
15:00Talk 5
Erkan Zergeroglu

Machine Learning on Uncertain Systems: A concurrent learning based adaptive controller
15:45Coffee Break
16:15Talk 6
Onur Kadem

Machine Learning for Battery Management: From State Estimation to Fast Charging
16:40Talk 7
Faraz Shaikh

Energy-Aware Resource Orchestration using Reinforcement Learning in Edge-Cloud Systems
17:05Interactive Session
20:00Dinner Downtown Saarbrücken

Tuesday, September 15th, 2026

TimeSpeaker / EventTitle
09:00Talk 8
Verena Häberle

Next-Generation Grid Codes: Towards a New Paradigm for Dynamic Ancillary Services                                         
09:45Talk 9
Matthias Höger

Model Predictive Control of Combined Cycle Power Plants
10:30Coffee Break
11:00Interactive Session
TBD
12:30Lunch Break
13:30Talk 10
Enver Tatlicioglu

Control of distributed energy storage system integrated power systems with OPAL-RT validation
14:15Talk 11
Delphine Bresch-Pietri

Prediction in wind farm control : from  wind estimation to delay-aware online optimization
15:00Closing 

Overnight stay

Participants are requested to make their own hotel reservations. The following hotels are recommended for overnight stays:

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.