Florian Steinke

Florian Steinke

Technische Universität Darmstadt

H-index: 21

Europe-Germany

About Florian Steinke

Florian Steinke, With an exceptional h-index of 21 and a recent h-index of 14 (since 2020), a distinguished researcher at Technische Universität Darmstadt, specializes in the field of power systems, smart grid, machine learning, optimization, resilience.

His recent articles reflect a diverse array of research interests and contributions to the field:

Generative machine learning methods for multivariate ensemble postprocessing

Probabilistic Georeferenced Grid Modeling: A Bayesian Approach for Integrating Available System Measurements

The Value of Probabilistic Forecasts for Electricity Market Bidding and Scheduling Under Uncertainty

Efficient Training of Learning-Based Thermal Power Flow for 4th Generation District Heating Grids

Robust placement and control of phase-shifting transformers considering redispatch measures

Local Interpretable Explanations of Energy System Designs

Adaptive global coordination of local routing policies for communication networks

Representing topology uncertainty for distribution grid expansion planning

Florian Steinke Information

University

Position

Professor Energy Information Networks & Systems

Citations(all)

3530

Citations(since 2020)

1267

Cited By

2827

hIndex(all)

21

hIndex(since 2020)

14

i10Index(all)

33

i10Index(since 2020)

20

Email

University Profile Page

Technische Universität Darmstadt

Google Scholar

View Google Scholar Profile

Florian Steinke Skills & Research Interests

power systems

smart grid

machine learning

optimization

resilience

Top articles of Florian Steinke

Title

Journal

Author(s)

Publication Date

Generative machine learning methods for multivariate ensemble postprocessing

The Annals of Applied Statistics

Jieyu Chen

Tim Janke

Florian Steinke

Sebastian Lerch

2024/3

Probabilistic Georeferenced Grid Modeling: A Bayesian Approach for Integrating Available System Measurements

Available at SSRN 4778882

Domenico Tomaselli

Paul Stursberg

Michael Metzger

Florian Steinke

2024

The Value of Probabilistic Forecasts for Electricity Market Bidding and Scheduling Under Uncertainty

IEEE Transactions on Power Systems

Mario Beykirch

Andreas Bott

Tim Janke

Florian Steinke

2024/3/25

Efficient Training of Learning-Based Thermal Power Flow for 4th Generation District Heating Grids

arXiv preprint arXiv:2403.11877

Andreas Bott

Mario Beykirch

Florian Steinke

2024/3/18

Robust placement and control of phase-shifting transformers considering redispatch measures

Energies

Allan Santos

Florian Steinke

2023/5/31

Local Interpretable Explanations of Energy System Designs

Energies

Jonas Hülsmann

Julia Barbosa

Florian Steinke

2023/2/23

Adaptive global coordination of local routing policies for communication networks

Computer Communications

Allan Santos

Amr Rizk

Florian Steinke

2023/4/15

Representing topology uncertainty for distribution grid expansion planning

Domenico Tomaselli

Paul Stursberg

Michael Metzger

Florian Steinke

2023/1/1

Unimodality of Parametric Linear Programming Solutions and Efficient Quantile Estimation

AppliedMath

Sara Mollaeivaneghi

Allan Santos

Florian Steinke

2023/11/7

Deep learning-enabled MCMC for probabilistic state estimation in district heating grids

Applied Energy

Andreas Bott

Tim Janke

Florian Steinke

2023/4/15

Coordinated cyber attacks on smart grids considering software supply chains

Kirill Kuroptev

Florian Steinke

2023/10/23

Admissible Control Laws for Constrained Linear Power Flow: The General Case

IEEE Transactions on Power Systems

Edwin Mora

Florian Steinke

2023/3/30

Power blackout: Citizens’ contribution to strengthen urban resilience

Energy Policy

Michèle Knodt

Anna Stöckl

Florian Steinke

Martin Pietsch

Gerrit Hornung

...

2023/3/1

DER Pricing Power in the Presence of Multi-Location Consumers with Load Migration Capabilities

Sara Mollaeivaneghi

Julia Barbosa

Florian Steinke

2023/10/23

Bidding and Scheduling in Energy Markets: Which Probabilistic Forecast Do We Need?

Mario Beykirch

Tim Janke

Florian Steinke

2022/6/12

Local energy markets for thermal-electric energy systems considering energy carrier dependency and energy storage systems

Smart Energy

Thanh Huynh

Franziska Schmidt

Sebastian Thiem

Martin Kautz

Florian Steinke

...

2022/5/1

The water energy nexus: Improved emergency grid restoration with DERs

Electric Power Systems Research

Martin Pietsch

Florian Steinke

2022/11/1

Design and optimization of performance guarantees for hybrid power plants

Energy

Simon Ackermann

Andrei Szabo

Joachim Bamberger

Florian Steinke

2022/1/15

Method and device for recording and evaluating an output of electrical energy of a hybrid power plant

2022/10/25

Optimized UAV Placement for Resilient Crisis Communication and Power Grid Restoration

Michael Heise

Martin Pietsch

Florian Steinke

Maximilian Bauer

Burak Yilmaz

2022/10/10

See List of Professors in Florian Steinke University(Technische Universität Darmstadt)

Co-Authors

H-index: 82
Jan Peters

Jan Peters

Technische Universität Darmstadt

H-index: 64
Volker Tresp

Volker Tresp

Ludwig-Maximilians-Universität München

H-index: 58
Matthias Hein

Matthias Hein

Eberhard Karls Universität Tübingen

H-index: 43
Anja Klein

Anja Klein

Technische Universität Darmstadt

H-index: 36
Emanuele Della Valle

Emanuele Della Valle

Politecnico di Milano

H-index: 34
Kim, Kwang In

Kim, Kwang In

Ulsan National Institute of Science and Technology

academic-engine