NextGen Synergy: Control Theory and Machine Learning

Name: NextGen Synergy: Control Theory and Machine Learning
Start: 2026-04-27T08:30:00+02:00
End: 2026-04-30T20:00:00+02:00
Location: Faculty of Economics and Management, Czech University of Life Sciences

Apr 27 – 30, 2026

Faculty of Economics and Management, Czech University of Life Sciences

Europe/Prague timezone

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klepkova@utia.cas.cz

Model Predictive Control and Machine Learning-Based Grid-Forming Inverters: The Combination of Control and Learning for Low-Inertia Power Systems

Apr 29, 2026, 5:40 PM

Accept as Poster presentation Hybrid and Data-driven Modelling Poster Session B

Affiliation of the corresponding author	Karadeniz Technical University
Keywords	Model Predictive Control, Data-Driven Control, Machine Learning, Grid Forming Inverters
Preferred type of presentation	Oral
Are you a member of COST Action CA24136?	Yes, I am a member of COST Action CA24136.
Are you applying for reimbursement?	Yes, I am applying for reimbursement

Mr Yahya Danayiyen (Karadeniz Technical University) Ms Amina Alshekh (Karadeniz Technical University)

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NextGen Synergy: Control Theory and Machine Learning

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Model Predictive Control and Machine Learning-Based Grid-Forming Inverters: The Combination of Control and Learning for Low-Inertia Power Systems

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NextGen Synergy: Control Theory and Machine Learning

Local Organiser Contacts

Authors

Presentation materials