kramersmoyal: Kramers-Moyal coefficients for stochastic processes. - Leonardo Rydin Gorjão; Francisco Meirinhos (J. Open Source Softw., 2019)

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)

Power grid frequency data base. - Richard Jumar; Heiko Maaß; Benjamin Schäfer 001; Leonardo Rydin Gorjão; Veit Hagenmeyer (CoRR, 2020)

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)

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

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)

Microscopic fluctuations in power-grid frequency recordings at the sub-second scale. - Benjamin Schäfer 001; Leonardo Rydin Gorjão; G. Cigdem Yalcin; Ellen Förstner; Richard Jumar; Heiko Maaß; Uwe G. Kühnapfel; Veit Hagenmeyer (CoRR, 2022)

The stochastic nature of power-grid frequency in South Africa. - Leonardo Rydin Gorjão; Jacques M. Maritz (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)

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)

Microscopic Fluctuations in Power-Grid Frequency Recordings at the Subsecond Scale. - Benjamin Schäfer 001; Leonardo Rydin Gorjão; G. Cigdem Yalcin; Ellen Förstner; Richard Jumar; Heiko Maaß; Uwe G. Kühnapfel; Veit Hagenmeyer (Complex., 2023)

Non-linear, bivariate stochastic modelling of power-grid frequency applied to islands. - Ulrich Oberhofer; Leonardo Rydin Gorjão; G. Cigdem Yalcin; Oliver Kamps; Veit Hagenmeyer; Benjamin Schäfer 001 (CoRR, 2023)

Non-standard power grid frequency statistics in Asia, Australia, and Europe. - Xinyi Wen; Mehrnaz Anvari; Leonardo Rydin Gorjão; G. Cigdem Yalcin; Veit Hagenmeyer; Benjamin Schäfer 001 (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)

Identifying Complex Dynamics of Power Grid Frequency. - Xinyi Wen; Ulrich Oberhofer; Leonardo Rydin Gorjão; G. Cigdem Yalcin; Veit Hagenmeyer; Benjamin Schäfer 001 (e-Energy, 2024)

Data-Driven Modeling of Frequency Dynamics Observed in Operating Microgrids: A South African University Campus Case Study. - Jacques M. Maritz; Leonardo Rydin Gorjão; P. Armand Bester; Nicolaas Esterhuysen; Stefaans Erasmus; Stephanus Riekert; Reuben Immelman; Tiaan Geldenhuys; Alexandra Viljoen; Charl Bodenstein (IEEE Access, 2024)