Characterizing Load Shedding Events in a Highly Renewable Power Grid: A Data-Driven Approach

Kraus, Friedmuth Michael (2025) Characterizing Load Shedding Events in a Highly Renewable Power Grid: A Data-Driven Approach. Master's, Carl von Ossietzky Universität Oldenburg.

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Item URL in elib:

https://elib.dlr.de/215031/

Document Type:

Thesis (Master's)

Title:

Characterizing Load Shedding Events in a Highly Renewable Power Grid: A Data-Driven Approach

Authors:

Authors	Institution or Email of Authors	Author's ORCID iD	ORCID Put Code
Kraus, Friedmuth Michael	friedmuth.kraus (at) dlr.de	https://orcid.org/0009-0000-0704-9497	UNSPECIFIED

DLR Supervisors:

Contribution	DLR Supervisor	Institution or E-Mail	DLR Supervisor's ORCID iD
Thesis advisor	Schyska, Bruno	Bruno.Schyska (at) dlr.de	https://orcid.org/0000-0002-8206-8863

Date:

20 June 2025

Open Access:

Yes

Number of Pages:

101

Status:

Published

Keywords:

Electricity shortages, ERAA, European Resource Adequacy Assessment, detection of critical events

Institution:

Carl von Ossietzky Universität Oldenburg

Department:

Institut für Chemie und Biologie des Meeres

HGF - Research field:

Energy

HGF - Program:

Energy System Design

HGF - Program Themes:

Energy System Transformation

DLR - Research area:

Energy

DLR - Program:

E SY - Energy System Technology and Analysis

DLR - Research theme (Project):

E - Systems Analysis and Technology Assessment, E - Energy System Technology

Location:

Oldenburg

Institutes and Institutions:

Institute of Networked Energy Systems > Energy Systems Analysis, OL

Deposited By:

Kraus, Friedmuth Michael

Deposited On:

09 Jul 2025 12:05

Last Modified:

27 Feb 2026 11:36

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