Malte Lehna

According to our database, Malte Lehna authored at least 8 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Learning Topology Actions for Power Grid Control: A Graph-Based Soft-Label Imitation Learning Approach.

Mohamed Hassouna, Clara Holzhüter, Malte Lehna, Matthijs de Jong, Jan Viebahn, Bernhard Sick, Christoph Scholz

CoRR, March, 2025

2024

Structured Power Grid Simulation Dataset for Machine Learning: Failure and Survival Events in Grid2Op's L2RPN WCCI 2022 Environment.

Malte Lehna, Mohamed Hassouna, Dmitry Degtyar, Sven Tomforde, Christoph Scholz

Dataset, October, 2024

Targeted adversarial attacks on wind power forecasts.

René Heinrich, Christoph Scholz, Stephan Vogt, Malte Lehna

Mach. Learn., February, 2024

Fault Detection for agents on power grid topology optimization: A Comprehensive analysis.

Malte Lehna, Mohamed Hassouna, Dmitry Degtyar, Sven Tomforde, Christoph Scholz

CoRR, 2024

HUGO - Highlighting Unseen Grid Options: Combining Deep Reinforcement Learning with a Heuristic Target Topology Approach.

Malte Lehna, Clara Holzhüter, Sven Tomforde, Christoph Scholz

CoRR, 2024

2023

Managing power grids through topology actions: A comparative study between advanced rule-based and reinforcement learning agents.

Malte Lehna, Jan Viebahn, Christoph Scholz, Antoine Marot, Sven Tomforde

CoRR, 2023

2021

A Reinforcement Learning Approach for the Continuous Electricity Market of Germany: Trading from the Perspective of a Wind Park Operator.

Malte Lehna, Björn Hoppmann, René Heinrich, Christoph Scholz

CoRR, 2021

2020

Towards the Prediction of Electricity Prices at the Intraday Market Using Shallow and Deep-Learning Methods.

Christoph Scholz, Malte Lehna, Katharina Brauns, André Baier

Proceedings of the Mining Data for Financial Applications - 5th ECML PKDD Workshop, 2020