Leonardo Rydin Gorjão

Leonardo Rydin Gorjão

Førsteamanuensis

  • Institutt for fysikk

My main research focus lies in physics-centric data analysis, particularly applied to energy systems. I focus on how physics can help us improve our understanding of renewable energies, power-grid stability, energy markets, and microgrids. How can network sciences, dynamical and stochastic processes, and generally complex systems aid us in living in a more sustainable world?

In my research, I try to aim for a balance of applied physics and data sciences. The topics that interest me are power-grid stability, electricity price dynamics, and the impact of renewable energy on the former. I am also involved in projects working with paleo-climate and psychopathology data analysis.

  • Publikasjoner

    Liste med publikasjoner fra min forskning. (Cristin)

    2024

    A. Morr, K. Riechers, L. Rydin Gorjão, N. Boers, Anticipating critical transitions in multi-dimensional systems driven by time- and state-dependent noise, Physical Review Research 6, 033251 (2024) [DOI] [ArXiv].

    H. Hilger, D. Witthaut, M. Dahmen, L. Rydin Gorjão, J. Trebbien, E. Cramer, Multivariate Scenario Generation of Day-Ahead Electricity Prices using Normalizing Flows, Applied Energy 367, 123241 (2024) [DOI] [ArXiv].

    J. Trebbien, A. Tausendfreund, L. Rydin Gorjão, D. Witthaut, Patterns and Correlations in European Electricity Prices, Chaos 34, 073108 (2024) [DOI].

    X. Wen, U. Oberhofer, L. Rydin Gorjão, G. C. Yalcin, V. Hagenmeyer, B. Schäfer, Identifying Complex Dynamics of Power Grid Frequency, E-Energy '24: The 15th ACM International Conference on Future and Sustainable Energy Systems, Singapore (2024) [link].

    J. Maritz, L. Rydin Gorjão, A. Bester, N. Esterhuysen, S. Erasmus, S. Riekert, R. Immelman, T. Geldenhuys, A. Viljoen, C. Bodenstein, Data-driven modelling of frequency dynamics observed in operating microgrids: A South African University campus case study, IEEE Access 12, 14466–14473 (2024) [DOI].

    J. Trebbien, S. Pütz, B. Schäfer, H. S. Nygård, L. Rydin Gorjão, D. Witthaut, Probabilistic Forecasting of Day-Ahead Electricity Prices and their Volatility with LSTMs, 2023 IEEE PES Innovative Smart Grid Technologies Europe (ISGT EUROPE), Grenoble, France (2023) [DOI] [ArXiv].

    2023

    U. Oberhofer, L. Rydin Gorjão, G. Cigdem Yalcin, O. Kamps, V. Hagenmeyer, B. Schäfer, Non-linear, bivariate stochastic modelling of power-grid frequency applied to islands, Accepted to IEEE PowerTech 2023 Conference Proceedings (2023) [ArXiv].

    K. Riechers*, L. Rydin Gorjão*, F. Hassanibesheli, D. Witthaut, P. G. Lind, N. Boers, Stable stadial and interstadial states of the last glacial's climate identified in a combined stable water isotope and dust record from Greenland, Earth System Dynamics, 14(3), 593–607 (2023) [DOI].

    J. Trebbien, L. Rydin Gorjão, A. Praktiknjo, B. Schäfer, D, Witthaut, Understanding electricity prices beyond the merit order principle using explainable AI, Energy and AI, 13, 100250, (2023) [DOI] [ArXiv].

    B. Schäfer*, L. Rydin Gorjão*, G. C. Yalcin, E. Förstner, R. Jumar, H. Maass, U. Kühnapfel, V. Hagenmeyer, Microscopic fluctuations in power-grid frequency recordings at the sub-second scale, Complexity, 2023, 2657039 (2023) [DOI] [ArXiv].

    L. Rydin Gorjão, J. Maritz, The stochastic nature of power-grid frequency in South Africa, Journal of Physics: Complexity 4(1), 015007 (2023) [DOI] [ArXiv].

    L. Rydin Gorjão, D. Witthaut, P. G. Lind, jumpdiff: A Python library for statistical inference of jump-diffusion processes in sets of measurements, Journal of Statistical Software 105(1), 1–22  (2023) [DOI].

    Ph. C. Böttcher*, L. Rydin Gorjão*, C. Beck, R. Jumar, H. Maass, V. Hagenmeyer, D. Witthaut, B. Schäfer, Initial analysis of the impact of the Ukrainian power grid synchronization with Continental Europe, Energy Advances 2, 91–97 (2023) [DOI] [ArXiv].

    2022

    Ph. C. Böttcher, D. Witthaut, L. Rydin Gorjão, Dynamic stability of electric power grids: Tracking the interplay of the network structure, transmission losses and voltage dynamics, Chaos: An Interdisciplinary Journal of Nonlinear Science 32, 053117 (2022) [DOI] [ArXiv].

    C. Han, D. Witthaut, L. Rydin Gorjão, Ph. C. Böttcher, Collective effects and synchronization of demand in real-time demand response, Journal of Physics: Complexity 3, 025002 (2022) [DOI] [ArXiv].

    L. Rydin Gorjão, G. Hassan, J. Kurths, D. Witthaut, MFDFA: Efficient Multifractal Detrended Fluctuation Analysis in Python, Computer Physics Communications 273, 108254 (2022) [DOI] [ArXiv].

    C. Han, H. Hilger, E. Mix, Ph. C. Böttcher, M. Reyers, C. Beck, D. Witthaut, L. Rydin Gorjão, Complexity and Persistence of Price Time Series of the European Electricity Spot Market, PRX Energy 1, 013002 (2022) [DOI] [ArXiv] - Highlighted in: [Physics], [Nature Review Physics], [Science]

    L. Rydin Gorjão, L. Vanfretti, D. Witthaut, C. Beck, B. Schäfer, Phase and amplitude synchronisation in power-grid frequency fluctuations in the Nordic Grid, IEEE Access 10, 18065–18073 (2022) [DOI] [ArXiv].

    E. Cramer, L. Rydin Gorjão, A. Mitsos, B. Schäfer, D. Witthaut, M. Dahmen, Validation Methods for Energy Time Series Scenarios from Deep Generative Models, IEEE Access 10, 8194–8207 (2022) [DOI] [ArXiv].

    2021

    L. Rydin Gorjão, B. Schäfer, D. Witthaut, C. Beck, Spatio-temporal complexity of power-grid frequency fluctuations, New Journal of Physics 23, 073016 (2021) [DOI] [ArXiv].

    L. Rydin Gorjão, D. Witthaut, K. Lehnertz, P. G. Lind. Arbitrary-Order Finite-Time Corrections for the Kramers–Moyal Operator, Entropy 2021, 23(5), 517 (2021) [DOI] [ArXiv].

    2020

    L. Rydin Gorjão, R. Jumar, H. Maass, V. Hagenmeyer, G. C. Yalcin, J. Kruse, M. Timme, C. Beck, D. Witthaut, B. Schäfer, Open data base analysis of scaling and spatio-temporal properties of power grid frequencies, Nature Communications 11, 6362 (2020) [DOI] [ArXiv] - Editors’ Highlights

    L. Rydin Gorjão, M. Anvari, H. Kantz, C. Beck, D. Witthaut, M. Timme, B. Schäfer, Data-driven model of the power-grid frequency dynamics, IEEE Access 8, 43082 (2020) [DOI] [ArXiv].

    2019

    L. Rydin Gorjão, J. Heysel, K. Lehnertz, M. R. R. Tabar, Analysis and data-driven reconstruction of bivariate jump-diffusion processes, Physical Review E 100, 062127 (2019) [DOI] [ArXiv].

    L. Rydin Gorjão, F. Meirinhos, kramersmoyal: Kramers–Moyal coefficients for stochastic processes in Python, Journal of Open Source Software, 4(44), 1693 (2019) [DOI] [ArXiv].

    M. Anvari, L. Rydin Gorjão, M. Timme, D. Witthaut, B. Schäfer, H. Kantz, Stochastic properties of the frequency dynamics in real and synthetic power grids, Physical Review Research 2, 013339 (2019) [DOI] [ArXiv].

    2018

    L. Rydin Gorjão, A. Saha, G. Ansmann, U. Feudel, K. Lehnertz, Complexity and irreducibility of dynamics on networks of networks, Chaos: An Interdisciplinary Journal of Nonlinear Science 28, 106306 (2018) [DOI] [ArXiv].

    K. Sharafutdinov, L. Rydin Gorjão, M. Matthiae, T. Faulwasser, D. Witthaut, Rotor-angle versus voltage instability in the third-order model for synchronous generators, Chaos: An Interdisciplinary Journal of Nonlinear Science 28, 033117 (2018) [DOI] [ArXiv].

    2014

    A. V. Yulin, L. Rydin Gorjão, K. Staliunas, Stable radiating gap solitons and their resonant interactions with dispersive waves in systems with parametric pump, Physical Review E 90, 052918 (2014) [DOI] [ArXiv].

    A. V. Yulin, L. Rydin Gorjão, R. Driben, D. V. Skryabin, Tuning resonant interaction of orthogonally polarized solitons and dispersive waves with the soliton power, Optics Express 22, 10995 (2014) [DOI] [ArXiv].

  • Undervisning

    [MSc] D. C. Ajaegbu, Forecasting electrical demand in an operational centralised hybrid diesel-PV microgrid: Application of recurrent neural networks, NMBU & UFS.

    [MSc] H. K. Berg, Assessing the Impact of Price Signals on Electricity Consumption Flexibility in Households: Evidence from Oslo, Norway, NMBU& Statnett-Elhub.

    [MSc] M. Saleem, Modelling off-shore wind generation potential of Norway in PyPSA, NMBU.

    [MSc] L. H. Telle, Local and global sensitivity analysis of hydrogen storage and transfer, NMBU & NORCE.

    [MSc] K. J. Gudbjerg, Integrating Pump Hydro Energy Storage in the Røldal-Suldal hydropower system, NMBU & SINTEF.

    [MSc] L. Thomassen, Exploring the Profitability of Hydrogen and Battery Energy Storage Systems in the Norwegian Electricity Reserve Markets, NMBU.

    [MSc] K. A. Bø, Exploring Rate of Change of Frequency (RoCoF) events in the Nordic Synchronous Area from 2015 to 2023, NMBU.

    [MSc] O. P. Viken, Interpreting Norwegian Electricity Prices During the Energy Crisis: A Data-Driven Forecasting Approach with Explainable AI, NMBU.

    [MSc] T. Drageset, Integration of stochastic modelling and machine learning for estimating inertia in power systems, NMBU.

    [MSc] S. Grøtan, Predicting electricity demand using machine learning: Case study of Oslo Airport Gardermoen, co-supervisor, NMBU.

    [MSc] S. Vøllo, Indirect Forecasting of Power Generation From a PV Power Plant Through Data-Driven and Physical Methods, co-supervisor, NMBU.

    [MSc] S, Esteghamat, Application of deep learning on geological reservoir imaging, co-supervisor, OsloMet.
    [MSc] W. Demloj, Electricity Price Forecasting using Multivariate Price Time Series, OsloMet.

    [BSc] C. Kaschny, Linear stability of droop-controlled inverter-based power grids, co-supervisor, University of Cologne, Germany.

    [BSc] E. S. Mix, Persistence Statistics of Electricity Price Time Series, co-supervisor, University of Cologne, Germany.

    [BSc] H. Hilger, Statistical Properties of Extreme Price Events on the European Electricity Markets, co-supervisor, University of Cologne, Germany.