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Uplifting the Complexity of Analysis for Probabilistic Security of Electricity Supply Assessments Using Artificial Neural Networks

SSRN Electronic Journal

Authors 6

  1. Justin Münch corresponding

    Hochschule Düsseldorf University of Applied Sciences

    Affiliation as printed

    University of Applied Sciences Düsseldorf - Centre of Innovative Energy Systems (ZIES)

    University of Applied Sciences Düsseldorf - Centre of Innovative Energy Systems (ZIES), Münsterstraße 156, Düsseldorf, DE, Germany

    University of Applied Sciences, Dusseldorf

  2. RWTH Aachen University

    Affiliation as printed

    Chair for Energy System Economics, E.ON Energy Research Center, RWTH Aachen University

    Chair for Energy System Economics, E.ON Energy Research Center, RWTH Aachen University, Mathieustrasse 6, Aachen, 52074, Germany

  3. Hochschule Düsseldorf University of Applied Sciences

    Affiliation as printed

    University of Applied Sciences Düsseldorf - Centre of Innovative Energy Systeme (ZIES)

    University of Applied Sciences Düsseldorf - Centre of Innovative Energy Systeme (ZIES), Münsterstraße 156, Düsseldorf, 40476, Germany

  4. RWTH Aachen University

    Affiliation as printed

    RWTH Aachen University

    RWTH Aachen University, Templergraben 55, 52056 Aachen, 52056, Germany

  5. RWTH Aachen University

    Affiliation as printed

    RWTH Aachen University - Institute for Future Energy Consumer Needs and Behavior (FCN)

    RWTH Aachen University - Institute for Future Energy Consumer Needs and Behavior (FCN), Mathieustrasse 6, Aachen, 52074, Germany

  6. Hochschule Düsseldorf University of Applied Sciences

    Affiliation as printed

    University of Applied Sciences Düsseldorf - Centre of Innovative Energy Systeme (ZIES)

    University of Applied Sciences Düsseldorf - Centre of Innovative Energy Systeme (ZIES), Münsterstraße 156, Düsseldorf, 40476

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