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Department of Data Science

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      • Analytics & Mixed-Integer Optimization
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Department of Data Science

  1. Home
  2. Research
  3. Research Groups
  4. Optimization under Uncertainty & Data Analysis
  5. Group members
  6. M.Sc. Kevin-Martin Aigner
  7. Projects

Projects

In page navigation: Research
  • Agile Teams
    • IBO – Intelligent Business Optimization
    • DynDat – Dynamic data inversion, learning and control
  • Research Groups
    • Analytics & Mixed-Integer Optimization
      • Group members
        • Dr. Andreas Bärmann
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        • M.Sc. Kristin Braun
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        • M.Sc. Patrick Gemander
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        • Prof. Dr. Yiannis Giannakopoulos
        • M.Sc. Adrian Göß
        • M.Sc. Lukas Hager
        • M.Sc. Johannes Hahn
        • M.Sc. Katrin Halbig
        • M.Sc. Lukas Hümbs
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        • M.Sc. Jan Krause
        • M.Sc. Richard Krug
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        • Prof. Dr. Alexander Martin
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        • M.Sc. Alexander Müller
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        • Dipl.-Math. Galina Orlinskaya
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        • Dr. Jan Rolfes, Akad. Rat
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        • Hanno Schülldorf
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    • Data Analytics
      • Prof. Dr. Timm Oertel
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        • M.Sc. Dennis Adelhütte
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        • M.Sc. Kevin-Martin Aigner
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        • M.Sc. Daniela Bernhard
        • M.Sc. Christian Biefel
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        • M.Sc. Jana Dienstbier
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        • M.Sc. Benno Hoch
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        • M.Sc. Martina Kuchlbauer
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        • Prof. Dr. Frauke Liers
        • M.Sc. Florian Rösel
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        • Sebastian Tschuppik
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        • Friedrich Wagner
        • M.Sc. Jorge Weston
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    • Partial Differential Equations
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        • Prof. Dr. Frank Duzaar
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        • PD Dr. Jens Habermann
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        • Dr. Andreas Herán
        • Andrea Hoppe
        • Dr. Manfred Kronz
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        • Léon Mons
        • Dr. Anton Treinov
        • Ehsan Waiezi
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  • Professors, Lecturers and Researchers
    • Frank Duzaar
    • Giovanni Fantuzzi
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    • Wigand Rathmann
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    • Dieter Weninger
    • Marius Yamakou
    • Enrique Zuazua
  • Secondary Members of DDS
    • Freimut Bodendorf
    • Günter Leugering
  • Former Members

Projects

Projects

  • Multi-sector coupled energy system modeling on a regional level

    (Third Party Funds Group – Overall project)

    Term: 1. May 2021 - 30. April 2024
    Funding source: Bundesministerium für Wirtschaft und Technologie (BMWi)
    URL: https://www.esm-regio.de
    Abstract
    Reducing primary energy use and greenhouse gases are central goals of the energy transition. However, switching from fossil to regenerative energy sources is not enough to achieve them. An overarching view and optimization of the different sectors of the energy system - electricity, gas, heat and transport - can significantly advance the further development of the energy system in Germany. Potential exists above all on a regional level.

    The goal of the ESM-Regio project - short for "Multisectoral Coupled Energy System Modeling on a regional level" - is to create a temporally high-resolution energy system model on a county level that takes into account the four sectors of electricity, gas, heat and transport as well as the required interface technologies. A key feature of the project is a cross-sector model logic. Suitable simulation methods enable a holistic analysis and optimization of the system operation under consideration of the four relevant sectors of the energy system.

    →More information
  • Optimierung der Netzeingriffe

    (Third Party Funds Group – Sub project)

    Overall project: Flächenbezogene Modellierung, Simulation und Optimierung von Solar-Einspeisung, Lastfluss und Steuerung für Stromverteilnetze, unter Berücksichtigung von Einspeisungsunsicherheiten
    Term: 1. January 2018 - 31. December 2021
    Funding source: Bundesministerium für Bildung und Forschung (BMBF)
    URL: https://en.www.math.fau.de/edom/projects-edom/analytics/optimal-control-of-electrical-distribution-networks-with-uncertain-solar
    →More information
Department of Data Science
Friedrich-Alexander-Universität Erlangen-Nürnberg

Cauerstr. 11
91058 Erlangen
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