ArticleNature communications2025
Vulnerability of power distribution networks to local temperature changes induced by global climate change.
Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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.
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.
Who cites it
3 citing papers in PubMed.
- Photonic thermal management of overhead cables via high-thermal-conductivity radiative cooling.Light, science & applications · 2026Article
- Warming-driven shifts in global building energy use reshape climate mitigation planning.Nature communications · 2026Article
- Vulnerability of power distribution networks to local temperature changes induced by global climate change.Nature communications · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
Global climate change (GCC) triggers a chain effect, converting temperature pattern changes into variations in blackout risk for power distribution grids (DGs). This occurs through GCC's impacts on electricity supply, demand, and infrastructure, which shift the DG's safe-operation boundary and power flow. This study presents a model integration framework to assess the associated blackout risk, showing that GCC raises blackout risks during peak hours by 4-6%, depending on Gross Domestic Product growth. Kirchhoff's laws amplify these effects, creating nonlinear risk trajectories. Analysis of the chain effect suggests adaptation strategies, including reshaping grid topology and pairing temperature-sensitive users with robust buses. Index-based analysis reveals that over 20% of the U.S. requires at least a 10% DG capacity increase before 2050, with six states exceeding 20%. Europe faces a more moderate impact. These findings highlight the need for policymakers to prioritize peak-load management and address nonlinear risks across regions.
Identifiers
What OpenQuestion holds
Registered trials
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.