Evidence map›Paper›PMID 40687821›Full record

ArticleiScience2025

Disparate power transmission performance reinforces Italian social inequities.

Katherine Emma Lonergan, Andrej Stankovski, Blazhe Gjorgiev, Giovanni Sansavini

Abstract read
In one paragraph

Article in iScience, 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

4 authors.

Katherine Emma LonerganReliability and Risk Engineering Laboratory, Institute of Energy and Process Engineering, Department of Mechanical and Process Engineering, ETH Zurich, 8092 Zurich, Switzerland.
Andrej StankovskiReliability and Risk Engineering Laboratory, Institute of Energy and Process Engineering, Department of Mechanical and Process Engineering, ETH Zurich, 8092 Zurich, Switzerland.
Blazhe GjorgievReliability and Risk Engineering Laboratory, Institute of Energy and Process Engineering, Department of Mechanical and Process Engineering, ETH Zurich, 8092 Zurich, Switzerland.
Giovanni SansaviniReliability and Risk Engineering Laboratory, Institute of Energy and Process Engineering, Department of Mechanical and Process Engineering, ETH Zurich, 8092 Zurich, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

High-voltage electric power transmission systems facilitate the delivery of large shares of electricity to customers and, as such, are key to enabling equitable power service. Here, we investigate the historical performance of the Italian high-voltage power transmission grid delivering power to utility consumers. Using open socio-economic and power system data, we find that socially vulnerable regions experience higher frequency and energy loss than less vulnerable regions. We find that performance disparities stem from infrastructure and terrain characteristics. Components operating at 132 kV and 150 kV levels are more failure-prone than those at other voltage levels, possibly due to high congestion near large cities. Worst-performing substations demonstrate higher rates of failure among non-transmission system operator (TSO)-owned components and due to weather-induced line failures, emphasizing the need for standardized operations and maintenance procedures. Altogether, our work offers practical recommendations for improving energy equity and highlights the critical role of high-voltage transmission in achieving that aim.

Indexed as

energy managementEnergy Modelingenergy sustainability

Identifiers

PMID40687821
PMCPMC12270701

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.