A5091429551- Energy Load and Power Forecasting
- Complex Systems and Time Series Analysis
- Nonlinear Dynamics and Pattern Formation
- Advanced Thermodynamics and Statistical Mechanics
- Smart Grid Energy Management
- stochastic dynamics and bifurcation
- Tropical and Extratropical Cyclones Research
- Infrastructure Resilience and Vulnerability Analysis
- Spectroscopy and Quantum Chemical Studies
- Chaos control and synchronization
- Power System Optimization and Stability
- Mental Health Research Topics
- Electric Power System Optimization
- Complex Network Analysis Techniques
- Neural dynamics and brain function
- Building Energy and Comfort Optimization
- Lipid Membrane Structure and Behavior
- Wind Energy Research and Development
- Power System Reliability and Maintenance
- Opinion Dynamics and Social Influence
- Electrochemical Analysis and Applications
- Photoreceptor and optogenetics research
- Slime Mold and Myxomycetes Research
- Quantum Mechanics and Applications
- Ecosystem dynamics and resilience
Potsdam Institute for Climate Impact Research
2020-2024
Fraunhofer Institute for Algorithms and Scientific Computing
2023-2024
Leibniz Association
2020-2024
Max Planck Institute for the Physics of Complex Systems
2020
Sharif University of Technology
2012-2019
Carl von Ossietzky Universität Oldenburg
2013-2017
Abstract The Texas power grid on the Gulf Coast of United States is frequently hit by tropical cyclones (TCs) causing widespread outages, a risk that expected to substantially increase under global warming. Here we introduce new approach combines probabilistic line failure model with network simulate spatio-temporal co-evolution wind-induced failures high-voltage transmission lines and resulting cascading outages from seven major historical TCs. allows reproducing observed supply failures....
Wind and solar power are known to be highly influenced by weather events may ramp up or down abruptly. Such in the production influence not only availability of energy, but also stability entire grid. By analysing significant amounts data from several regions around world with resolutions seconds minutes, we provide strong evidence that renewable wind sources exhibit multiple types variability nonlinearity time scale {\it seconds} characterise their stochastic properties. In contrast...
Abstract The dynamics of power consumption constitutes an essential building block for planning and operating sustainable energy systems. Whereas variations in the renewable generation are reasonably well studied, a deeper understanding is still missing. Here, we analyse highly resolved residential electricity data Austrian, German UK households propose generally applicable data-driven load model. Specifically, disentangle average demand profiles from fluctuations based purely on time series...
Adaptivity is a dynamical feature that omnipresent in nature, socio-economics, and technology. For example, adaptive couplings appear various real-world systems, such as the power grid, social, neural networks, they form backbone of closed-loop control strategies machine learning algorithms. In this article, we provide an interdisciplinary perspective on systems. We reflect notion terminology adaptivity different disciplines discuss which role plays for fields. highlight common open...
Abstract Complex systems involving a large number of degrees freedom, generally exhibit non-stationary dynamics, which can result in either continuous or discontinuous sample paths the corresponding time series. The latter may be caused by events – jumps with some distributed amplitudes, and disentangling effects such from normal diffusion processes is main problem for detailed understanding stochastic dynamics complex systems. Here we introduce non-parametric method to address this general...
The energy system is rapidly changing to accommodate the increasing number of renewable generators and general transition towards a more sustainable future. Simultaneously, business models market designs evolve, affecting power-grid operation frequency. Problems raised by this ongoing are increasingly addressed transdisciplinary research approaches, ranging from purely mathematical modelling applied case studies. These approaches require stochastic description consumer behaviour,...
Climate change research is broad, diverse and constantly growing. Cross- interdisciplinary understanding essential for generating robust science advice policy. However, it challenging to prioritise navigate the ever-expanding peer-reviewed literature. To address this, we gathered input from experts across various fields through an online questionnaire prioritised a set of 10 key advances with high policy relevance. This year, focus on: (1) Declining aerosol emissions, (2) soaring methane (3)...
We report optical and electronic properties of the two main chlorophylls in green plants, namely, a b. estimate electric moments these molecules study absorption spectra chlorophylls.
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Frequency measurements indicate the state of a power grid. In fact, deviations from nominal frequency determine whether grid is stable or in critical situation. We aim to understand fluctuations on multiple time scales with recently proposed method based detrended fluctuation analysis. It enables us infer characteristic and generate stochastic models. capture quantify known features like periodicity due trading market, response variations by control systems, stability long average. discuss...
We present a modular framework for generating synthetic power grids that consider the heterogeneity of real grid dynamics but remain simple and tractable. This enables generation large sets wide range applications. For first time, our model also includes major drivers fluctuations on short-time scales set validators ensure resulting system are plausible. The generated robust show good synchronization under all evaluated scenarios, as should be expected realistic grids. A software package an...
Abstract Emergent extreme events are a key characteristic of complex dynamical systems. The main tool for detailed and deep understanding their stochastic dynamics is the statistics time intervals events. Analyzing extensive experimental data, we demonstrate that velocity series fully-developed turbulent flows, generated by (i) regular grid; (ii) cylinder; (iii) free jet helium, (iv) air with Taylor Reynolds numbers Re λ from 166 to 893, interoccurrence distributions P ( τ ) above positive...
Abstract Partially synchronized solitary states occur frequently when a system of networked oscillators with inertia is perturbed locally. Several asymptotic different frequencies can coexist at the same node. Here, we reveal mechanism behind this multistability: additional arise from coupling between network modes and oscillator’s frequency, leading to significant energy transfer. This cause node’s frequency resonate Laplacian eigenvalue. We analyze which structures enable resonance explain...
The structure and autoionization of water at the water–phospholipid interface are investigated by ab initio molecular dynamics Monte Carlo simulations using local density approximation (LDA) generalized gradient (GGA) for exchange–correlation energy functional. Depending on lipid headgroup, strongly enhanced ionization is observed, leading to dissociation several molecules into H+ OH– per lipid. results can shed light phenomena high proton conductivity along membranes that has been reported...
Abstract We propose a nonlinear method for the analysis of time series spatial position bead trapped in optical tweezers, which enables us to reconstruct its dynamical equation motion. The main advantage is that all functions and parameters dynamics are determined directly (non-parametrically) from measured series. It also allows determine, first our knowledge, spatial-dependence diffusion coefficient an trap, demonstrate it not general constant. This contrast with assumption popularly-used...
Abstract Infrastructure resilience advanced through nexus thinking is pivotal for societies to handle disruptions and ensure sustainable functionality. This interconnected approach understands infrastructure as an interdependent complex system enables cooperative planning achieve resilience. However, challenges like data inadequacy, financial limitations governance issues impede its adoption, especially in developing regions. The United Nations University (UNU) Sustainability Nexus...
In this work stochastic properties of the power-grid frequency, as well effect trading market and dispatch actions on frequency are measured in Continental Europe Britain. The same analysis is employed to a newly introduced synthetic model for dynamics. Matching data with real one confirms validity model, including how it models control systems, electricity fluctuations from renewable energies consumers.
Abstract The epidemic threshold of a social system is the ratio infection and recovery rate above which disease spreading in it becomes an epidemic. In absence pharmaceutical interventions (i.e. vaccines), only way to control given move this by non-pharmaceutical like distancing, past corresponding disease, thereby tipping from into non-epidemic regime. Modeling as process on graph, distancing can be modeled removing some graphs links. It has been conjectured that largest eigenvalue...
The Texan electric network in the Gulf Coast of United States is frequently hit by Tropical Cyclones (TC) causing widespread power outages, a risk that expected to substantially increase under global warming. Here, we introduce new approach combining probabilistic line fragility model with Texas grid simulate temporal evolution wind-induced failures transmission lines and resulting cascading outages from seven major historical hurricanes. allows reproducing observed supply failures. In...
Although fluctuations in the waiting time series have been studied for a long time, some important issues such as its long-range memory and stochastic features presence of nonstationarity so far remained unstudied. Here we find that "waiting times" given increment level correlations with Hurst exponents belonging to interval 1/2<H<1. We also study positive-negative asymmetry distribution. logarithmic difference times has short-range correlation, then nature using Markovian method determine...
Wind energy, inserted into the power grid by wind turbines, is strongly influenced turbulent fluctuations of speed in atmospheric layer. Here we investigate production a farm and show that due to presence large-scale long-time correlation velocity, turbines interact with each other. This interaction can result phase locking pairs turbines. We there are time intervals during which some temporally locked. intermediate leads statistical effect short-time cumulative output become non-Gaussian,...