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Ability of Black-Box Optimisation to Efficiently Perform Simulation Studies in Power Engineering Cover

Ability of Black-Box Optimisation to Efficiently Perform Simulation Studies in Power Engineering

Acta Mechanica et Automatica
Volume 17 (2023): Issue 2 (June 2023)
By: Lukas Peters,  Rüdiger Kutzner,  Marc Schäfer and  Lutz Hofmann  
Open Access
|May 2023

Authors

Lukas Peters

lukas.peters@hs-hannover.de

University of Applied Sciences and Arts Hannover, Faculty I – Electrical Engineering and Information Technology, Hannover, Germany

Rüdiger Kutzner

ruediger.kutzner@hs-hannover.de

University of Applied Sciences and Arts Hannover, Faculty I – Electrical Engineering and Information Technology, Hannover, Germany

Marc Schäfer

schaefermarc@siemens-energy.com

Siemens Energy Gas and Power Combustion Systems, Germany

Lutz Hofmann

hofmann@ifes.uni-hannover.de

Leibniz University Hannover, Institute of Electric Power Systems, Electric Power Engineering Section, Hannover, Germany
DOI: https://doi.org/10.2478/ama-2023-0034 | Journal eISSN: 2300-5319 | Journal ISSN: 1898-4088
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Language: English
Page range: 292 - 302
Submitted on: Nov 14, 2022
|
Accepted on: Feb 12, 2023
|
Published on: May 10, 2023
Published by: Bialystok University of Technology
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
black-box optimisation,
power plant engineering,
derivative-free optimisation,
simulation studies in power engineering
Related subjects:
Engineering,
Electrical engineering,
Electronics,
Mechanical engineering,
Mechanics,
Bioengineering and biomedical engineering,
Biomechanics,
Civil engineering,
Environmental engineering

© 2023 Lukas Peters, Rüdiger Kutzner, Marc Schäfer, Lutz Hofmann, published by Bialystok University of Technology
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

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