Uplifting the Complexity of Analysis for Probabilistic Security of Electricity Supply Assessments Using Artificial Neural Networks
Authors 6
-
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
-
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
-
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
-
Marius Tillmanns Aachen
Affiliation as printed
RWTH Aachen University
RWTH Aachen University, Templergraben 55, 52056 Aachen, 52056, Germany
-
Aaron Praktiknjo Aachen
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
-
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
Cited by 0 stored of 0
No patents citing this paper on Lens.org (checked 2026-10-06).