activity
20042022
most citedCycles and clustering in bipartite networks

241 citations · 1.4k across the 54 of their papers we have counts for

collaborators

57 papers

nlin.CG2022★ 6 cited

Assessing the robustness of critical behavior in stochastic cellular automata

Sidney Pontes-Filho, Pedro Lind, Stefano Nichele

There is evidence that biological systems, such as the brain, work at a critical regime robust to noise, and are therefore able to remain in it under perturbations. In this work, w…

q-fin.ST2021

Change of persistence in European electricity spot prices

Leonardo Rydin Gorjão, Dirk Witthaut, Pedro G. Lind +1

The European Power Exchange has introduced day-ahead auctions and continuous trading spot markets to facilitate the insertion of renewable electricity. These markets are designed t…

nlin.AO2021★ 15 cited

Arbitrary-order finite-time corrections for the Kramers-Moyal operator

Leonardo Rydin Gorjão, Dirk Witthaut, Klaus Lehnertz +1

With the aim of improving the reconstruction of stochastic evolution equations from empirical time-series data, we derive a full representation of the generator of the Kramers-Moya…

nlin.AO2019★ 25 cited

Heterogeneities in electricity grids strongly enhance non-Gaussian features of frequency fluctuations under stochastic power input

Matthias F. Wolff, Katrin Schmietendorf, Pedro G. Lind +3

Stochastic feed-in of fluctuating renewable energies is steadily increasing in modern electricity grids and this becomes an important risk factor for maintaining power grid stabili…

nlin.AO2018★ 26 cited

Power grid stability under perturbation of single nodes: Effects of heterogeneity and internal nodes

Matthias Wolff, Pedro G. Lind, Philipp Maass

Non-linear equations describing the time evolution of frequencies and voltages in power grids exhibit fixed points of stable grid operation. The dynamical behaviour after perturbat…

physics.data-an2017

Normal behaviour models for wind turbine vibrations: An alternative approach

Pedro G. Lind, Luis Vera-Tudela, Matthias Wächter +2

The identification of abnormal behaviour in mechanical systems is key to anticipate and avoid their potential failure. Thus wind turbine health is commonly assessed monitoring seri…