Karsten von Maydell

Head of Department

DLR Institute of Networked Energy Systems

Germany

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About

Karsten von Maydell is the Head of Department at the DLR Institute of Networked Energy Systems in Germany. His research focuses on the integration and optimization of decentralized energy systems, probabilistic forecasting methods, and the impact of hydrogen energy storage on power grids. Recent articles highlight his work on flexibility provision from decentralized systems, voltage-based load recognition, and the energy supply for multi-family houses under German market conditions.

Articles (10)

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2025

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2025

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2025

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2025

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2024

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2024

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2024

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2024

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2024

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2024

Collaborators (4)

Lucas Schmeling

Head of Integrated Energy Systems

GERMANY

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Karoline Brucke

DLR Institute of Networked Energy Systems

GERMANY

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Benedikt Hanke

DLR Institute of Networked Energy Systems

GERMANY

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Nailya Maitanova

DLR Institute of Networked Energy Systems

GERMANY

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Karsten von Maydell

Research Interests

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Articles (10)

A Robust Approach to Extend Deterministic Models for the Quantification of Uncertainty and Comprehensive Evaluation of the Probabilistic Forecasting

System friendliness of distributed resources in sustainable energy systems

The Integration of Hydrogen Energy Storage (HES) in Germany: What Are the Benefits for Power Grids?

Voltage-Based Load Recognition and Its Integration Into an Application Use Case

MULTI-STAKEHOLDER OPTIMAL ENERGY SUPPLY FOR MULTI-FAMILY HOUSES UNDER 2021 GERMAN MARKET CONDITIONS

An analytical method for quantifying the flexibility potential of decentralised energy systems

Analysis of a stand alone battery-converter device from a simulative systems engineering perspective

Analysis of the Integration of a DC-Charging Station Into a Tram Grid by Using Long- Term Field Measurements and a PHiL Setup

Investigating the Full Process of Flexibility Provision from Decentralised Energy Systems: From Quantification of Flexibility Potential to the Evaluation of Flexibility Provision Impacts

Load Recognition in Hardware-Based Low Voltage Distribution Grids Using Convolutional Neural Networks

Collaborators (4)

Lucas Schmeling

Karoline Brucke

Benedikt Hanke

Nailya Maitanova

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