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20222024
most citedIdentification of MIMO Wiener-type Koopman Models for Data-Driven Model Reduction using Deep Learning

29 citations · 53 across the 10 of their papers we have counts for

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math.OC20243 cited

Optimizing Flexibility in Power Systems by Maximizing the Region of Manageable Uncertainties

Aron Zingler, Stephane Fliscounakis, Patrick Panciatici +1

Motivated by the increasing need to hedge against load and generation uncertainty in the operation of power grids, we propose flexibility maximization during operation. We consider…

math.OC2024

Optimal design of a local renewable electricity supply system for power-intensive production processes with demand response

Sonja H. M. Germscheid, Benedikt Nilges, Niklas von der Assen +2

This work studies synergies arising from combining industrial demand response and local renewable electricity supply. To this end, we optimize the design of a local electricity gen…

math.OC2023

Optimal Design and Flexible Operation of a Fully Electrified Biodiesel Production Process

Mohammad El Wajeh, Adel Mhamdi, Alexander Mitsos

The flexible operation of electrified chemical processes, powered by renewable electricity, offers economic and ecological incentives, paving the way for a more sustainable chemica…

math.OC20234 cited

Cost-Optimal Power-to-Methanol: Flexible Operation or Intermediate Storage?

Simone Mucci, Alexander Mitsos, Dominik Bongartz

The synthesis of methanol from captured carbon dioxide and green hydrogen could be a promising replacement for the current fossil-based production. The major energy input and cost…

math.OC202229 cited

Identification of MIMO Wiener-type Koopman Models for Data-Driven Model Reduction using Deep Learning

Jan C. Schulze, Danimir T. Doncevic, Alexander Mitsos

We use Koopman theory to develop a data-driven nonlinear model reduction and identification strategy for multiple-input multiple-output (MIMO) input-affine dynamical systems. While…