Evidence map›Paper›PMID 40720524›Full record

ArticlePloS one2025

Geomagnetic disturbances and grid vulnerability: Correlating storm intensity with power system failures.

Mauro González Figueroa, Daniel David Herrera Acevedo, David Sierra Porta

Abstract read
In one paragraph

Article in PloS one, 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

3 authors.

Mauro González FigueroaEscuela de Ingeniería, Arquitectura y Dise no, Universidad Tecnológica de Bolívar, Cartagena de Indias, Bolívar, Colombia.ORCID https://orcid.org/0009-0005-9072-2860
Daniel David Herrera AcevedoEscuela de Ingeniería, Arquitectura y Dise no, Universidad Tecnológica de Bolívar, Cartagena de Indias, Bolívar, Colombia.ORCID https://orcid.org/0000-0002-2060-7040
David Sierra PortaEscuela de Transformación Digital, Universidad Tecnológica de Bolívar, Cartagena de Indias, Bolívar, Colombia.ORCID https://orcid.org/0000-0003-3461-1347

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Geomagnetic storms represent a critical yet sometimes overlooked factor affecting the reliability of modern power systems. This study examines the relationship between geomagnetic storm activity-characterized by the Dst index and categorized into weak, moderate, strong, severe, and extreme intensities-and reported power outages of unknown or unusual origin in the United States from 2006 to 2023. Outage data come from the DOE OE-417 Annual Summaries, while heliospheric and solar wind parameters (including proton density, plasma speed, and the interplanetary magnetic field) were obtained from NASA's OMNIWeb database. Results indicate that years with a higher total count of geomagnetic storms, especially those featuring multiple strong or severe events, exhibit elevated incidences of unexplained power interruptions. Correlation analyses further reveal that increasingly negative Dst values, enhanced solar wind velocity, and higher alpha/proton ratios align with greater numbers of outages attributed to unknown causes, underscoring the pivotal role of solar wind-magnetosphere coupling. A simple regression model confirms that storm intensity and average magnetic field strength are statistically significant predictors of unexplained outages, more so than broad indicators such as sunspot number alone. These findings highlight the importance of monitoring high-intensity geomagnetic storms and associated heliospheric variables to mitigate potential risks. Greater attention to space weather impacts and improved reporting of outage causes could bolster grid resilience, helping operators anticipate and manage disruptions linked to geomagnetic disturbances.

Indexed as

Magnetic FieldsUnited StatesWind

Identifiers

PMID40720524
PMCPMC12303307

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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.