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Marc Timme

Researcher at Dresden University of Technology

Publications -  231
Citations -  7476

Marc Timme is an academic researcher from Dresden University of Technology. The author has contributed to research in topics: Network topology & Grid. The author has an hindex of 43, co-authored 210 publications receiving 6078 citations. Previous affiliations of Marc Timme include University of Göttingen & Technische Universität Darmstadt.

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Self-organized synchronization in decentralized power grids.

TL;DR: Analysis of conditions enabling self-organized synchronization in oscillator networks that serve as coarse-scale models for power grids finds that whereas more decentralized grids become more sensitive to dynamical perturbations, they simultaneously become more robust to topological failures.
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Revealing network connectivity from response dynamics.

TL;DR: This work considers networks of coupled phase oscillators and explicitly study their long-term stationary response to temporally constant driving, finding good predictions of the actual connectivity even for formally underdetermined problems.
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Braess's paradox in oscillator networks, desynchronization and power outage

TL;DR: In this paper, the authors study how the addition of individual links impacts the emergence of synchrony in oscillator networks that model power grids on coarse scales and reveal that adding new links may not only promote but also destroy synchrony and link this counter-intuitive phenomenon to Braess's paradox known for traffic networks.
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Self-organized adaptation of a simple neural circuit enables complex robot behaviour

TL;DR: A study finds that incorporating a simple but inherently chaotic pattern generator into the control system of an autonomous robot allows it to show adaptive behaviour, enabling it to successfully navigate through a complex environment.
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Non-Gaussian power grid frequency fluctuations characterized by Lévy-stable laws and superstatistics

TL;DR: This work identifies energy trading as a substantial contribution to today’s frequency fluctuations and effective damping of the grid as a controlling factor enabling reduction of fluctuation risks, with enhanced effects for small power grids.