Relation between discrete and continuous teleportation using linear elements. - Dirk Witthaut; Michael Fleischhauer (Quantum Inf. Comput., 2004)

Digitalisierung und Erhalt von Digitalisaten in deutschen Museen. - Dirk Witthaut; Andrea Zierer; Arno Dettmers; Stefan Rohde-Enslin (2004)

A Dual Method for Computing Power Transfer Distribution Factors. - Henrik Ronellenfitsch; Marc Timme; Dirk Witthaut (CoRR, 2015)

Dual theory of transmission line outages. - Henrik Ronellenfitsch; Debsankha Manik; Jonas Hörsch; Tom Brown; Dirk Witthaut (CoRR, 2016)

From State Estimation to Network Reconstruction. - Farnaz Basiri; Jose Casadiego; Marc Timme; Dirk Witthaut (CoRR, 2017)

Linear Optimal Power Flow Using Cycle Flows. - Jonas Hörsch; Henrik Ronellenfitsch; Dirk Witthaut; Tom Brown (CoRR, 2017)

How Decentral Smart Grid Control Limits Non-Gaussian Power Grid Frequency Fluctuations. - Benjamin Schäfer 001; Dirk Witthaut; Marc Timme (CCTA, 2018)

Isolating the Impact of Trading on Grid Frequency Fluctuations. - Benjamin Schäfer 001; Marc Timme; Dirk Witthaut (ISGT Europe, 2018)

Data-Driven Model of the Power-Grid Frequency Dynamics. - Leonardo Rydin Gorjão; Mehrnaz Anvari; Holger Kantz; Christian Beck; Dirk Witthaut; Marc Timme; Benjamin Schäfer 001 (IEEE Access, 2020)

Predictability of Power Grid Frequency. - Johannes Kruse 001; Benjamin Schäfer 001; Dirk Witthaut (IEEE Access, 2020)

Exploring deterministic frequency deviations with explainable AI. - Johannes Kruse 001; Benjamin Schäfer 001; Dirk Witthaut (SmartGridComm, 2021)

Universal Statistics of Redistribution Factors and Large Scale Cascades in Power Grids. - Franz Kaiser; Dirk Witthaut (IEEE Access, 2021)

Phase and amplitude synchronisation in power-grid frequency fluctuations in the Nordic Grid. - Leonardo Rydin Gorjão; Luigi Vanfretti; Dirk Witthaut; Christian Beck; Benjamin Schäfer 001 (CoRR, 2021)

Secondary control activation analysed and predicted with explainable AI. - Johannes Kruse 001; Benjamin Schäfer 001; Dirk Witthaut (CoRR, 2021)

Arbitrary-Order Finite-Time Corrections for the Kramers-Moyal Operator. - Leonardo Rydin Gorjão; Dirk Witthaut; Klaus Lehnertz; Pedro G. Lind (Entropy, 2021)

Revealing drivers and risks for power grid frequency stability with explainable AI. - Johannes Kruse 001; Benjamin Schäfer 001; Dirk Witthaut (Patterns, 2021)

Validation Methods for Energy Time Series Scenarios From Deep Generative Models. - Eike Cramer; Leonardo Rydin Gorjão; Alexander Mitsos; Benjamin Schäfer 001; Dirk Witthaut; Manuel Dahmen (IEEE Access, 2022)

Phase and Amplitude Synchronization in Power-Grid Frequency Fluctuations in the Nordic Grid. - Leonardo Rydin Gorjão; Luigi Vanfretti; Dirk Witthaut; Christian Beck; Benjamin Schäfer 001 (IEEE Access, 2022)

Inferring Topology of Networks With Hidden Dynamic Variables. - Raoul Schmidt; Hauke Haehne; Laura Hillmann; Jose Casadiego; Dirk Witthaut; Benjamin Schäfer 001; Marc Timme (IEEE Access, 2022)

Initial analysis of the impact of the Ukrainian power grid synchronization with Continental Europe. - Philipp C. Böttcher; Leonardo Rydin Gorjão; Christian Beck; Richard Jumar; Heiko Maaß; Veit Hagenmeyer; Dirk Witthaut; Benjamin Schäfer 001 (CoRR, 2022)

Multivariate Probabilistic Forecasting of Intraday Electricity Prices using Normalizing Flows. - Eike Cramer; Dirk Witthaut; Alexander Mitsos; Manuel Dahmen (CoRR, 2022)

Understanding Braess' Paradox in power grids. - Benjamin Schäfer 001; Thiemo Pesch; Debsankha Manik; Julian Gollenstede; Guosong Lin; Hans-Peter Beck; Dirk Witthaut; Marc Timme (CoRR, 2022)

Predicting the power grid frequency of European islands. - Thorbjørn Lund Onsaker; Heidi S. Nygård; Damià Gomila; Pere Colet; Ralf Mikut; Richard Jumar; Heiko Maaß; Uwe G. Kühnapfel; Veit Hagenmeyer; Dirk Witthaut; Benjamin Schäfer 001 (CoRR, 2022)

Predicting Dynamic Stability from Static Features in Power Grid Models using Machine Learning. - Maurizio Titz; Franz Kaiser; Johannes Kruse 001; Dirk Witthaut (CoRR, 2022)

Physics-inspired machine learning for power grid frequency modelling. - Johannes Kruse 001; Eike Cramer; Benjamin Schäfer 001; Dirk Witthaut (CoRR, 2022)

Understanding electricity prices beyond the merit order principle using explainable AI. - Julius Trebbien; Leonardo Rydin Gorjão; Aaron Praktiknjo; Benjamin Schäfer 001; Dirk Witthaut (CoRR, 2022)

MFDFA: Efficient multifractal detrended fluctuation analysis in python. - Leonardo Rydin Gorjão; Galib Hassan; Jürgen Kurths; Dirk Witthaut (Comput. Phys. Commun., 2022)

Revealing interactions between HVDC cross-area flows and frequency stability with explainable AI. - Sebastian Pütz; Benjamin Schäfer 001; Dirk Witthaut; Johannes Kruse 001 (Energy Inform., 2022)

Dual Communities Characterize Structural Patterns and Robustness in Leaf Venation Networks. - Philipp C. Böttcher; Franz Kaiser; Henrik Ronellenfitsch; Vito Latora; Dirk Witthaut (COMPLEX NETWORKS (2), 2023)

Regulatory Changes in German and Austrian Power Systems Explored with Explainable Artificial Intelligence. - Sebastian Pütz; Johannes Kruse 001; Dirk Witthaut; Veit Hagenmeyer; Benjamin Schäfer 001 (e-Energy (Companion), 2023)

Probabilistic Forecasting of Day-Ahead Electricity Prices and their Volatility with LSTMs. - Julius Trebbien; Sebastian Pütz; Benjamin Schäfer 001; Heidi S. Nygård; Leonardo Rydin Gorjão; Dirk Witthaut (ISGT EUROPE, 2023)

Stability Bounds of Droop-Controlled Inverters in Power Grid Networks. - Philipp C. Böttcher; Leonardo Rydin Gorjão; Dirk Witthaut (IEEE Access, 2023)

Regulatory Changes in Power Systems Explored with Explainable Artificial Intelligence. - Sebastian Pütz; Johannes Kruse 001; Dirk Witthaut; Veit Hagenmeyer; Benjamin Schäfer 001 (CoRR, 2023)

Identifying drivers and mitigators for congestion and redispatch in the German electric power system with explainable AI. - Maurizio Titz; Sebastian Pütz; Dirk Witthaut (CoRR, 2023)

Multivariate Scenario Generation of Day-Ahead Electricity Prices using Normalizing Flows. - Hannes Hilger; Dirk Witthaut; Manuel Dahmen; Leonardo Rydin Gorjão; Julius Trebbien; Eike Cramer (CoRR, 2023)

jumpdiff: A Python Library for Statistical Inference of Jump-Diffusion Processes in Observational or Experimental Data Sets. - Leonardo Rydin Gorjão; Dirk Witthaut; Pedro G. Lind (J. Stat. Softw., 2023)

Emipy: An open-source Python-based tool to analyze industrial emissions in Europe. - Florian A. Overberg; Philipp C. Böttcher; Dirk Witthaut; Simon Morgenthaler (SoftwareX, 2023)

Synchronized states of power grids and oscillator networks by convex optimization. - Carsten Hartmann; Philipp C. Böttcher; David Gross 003; Dirk Witthaut (CoRR, 2024)

Unified algebraic deviation of distribution factors in linear power flow. - Joost van Dijk; Nico Westerbeck; Lars Schewe; Andrea Benigni; Dirk Witthaut (CoRR, 2024)

Accelerated DC loadflow solver for topology optimization. - Nico Westerbeck; Joost van Dijk; Jan Viebahn; Christian Merz; Dirk Witthaut (CoRR, 2025)