Evidence map›Paper›PMID 41188528›Full record

ArticleScientific reports2025

Nonstandard power grid frequency statistics across continents.

Xinyi Wen, Mehrnaz Anvari, Leonardo Rydin Gorjão, G Cigdem Yalcin, Veit Hagenmeyer, Benjamin Schäfer

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Xinyi WenInstitute for Automation and Applied Informatics (IAI), Karlsruhe Institute of Technology (KIT), 76344, Karlsruhe, Germany.
Mehrnaz AnvariFraunhofer-Institute for Algorithms and Scientific Computing (SCAI), 53757, Sankt Augustin, Germany.
Leonardo Rydin GorjãoDepartment of Environmental Sciences, Faculty of Science, Open University of the Netherlands, 6419AT, Heerlen, The Netherlands.
G Cigdem YalcinDepartment of Physics, Istanbul University, 34134, Istanbul, Turkey.
Veit HagenmeyerInstitute for Automation and Applied Informatics (IAI), Karlsruhe Institute of Technology (KIT), 76344, Karlsruhe, Germany.
Benjamin SchäferInstitute for Automation and Applied Informatics (IAI), Karlsruhe Institute of Technology (KIT), 76344, Karlsruhe, Germany. benjamin.schaefer@kit.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Power-grid frequency reflects the balance between electricity supply and demand in a power system. Measuring the frequency and its variations allows monitoring of the power balance in the system and, thus, frequency grid stability. Gaining insight into the characteristics of frequency variations and defining precise evaluation metrics for these variations enable better assessment of the performance of forecasts and synthetic models of the power-grid frequency. Previous work on the power grid frequency analysis was limited to a few geographical regions and did not quantify the observed effects. In the present contribution, we analyze and quantify the statistical and stochastic properties of self-recorded power-grid frequency data from various synchronous areas in Asia, Australia, and Europe at a sampling resolution of one second. Revealing non-standard statistics of both empirical and synthetic frequency data, we effectively constrain the space of possible (stochastic) power-grid frequency models and share a range of analysis tools to benchmark any model or characterize empirical data. Furthermore, we emphasize the need to analyze data from a large range of synchronous areas to obtain generally applicable models.

Indexed as

BimodalCorrelationHurst exponentLinear testPower grid frequencySDE modeling

Identifiers

PMID41188528
PMCPMC12586557

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.