Evidence map›Paper›PMID 40121275›Full record

ArticleScientific reports2025

Dynamic correlation analysis of sectoral electricity consumption and urban carbon concentration using machine learning models.

Yufei Teng, Han Zhang, Yu Zhan, Xinyi Liu, Zhengwei Chang, Yumin Chen, Hongli Liu

Abstract read
PubMed Full text at PMC Publisher
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

7 authors.

Yufei TengPower Internet of Things Key Laboratory of Sichuan Province, State Grid Sichuan Electric Power Research Institute, Chengdu, 610095, China.
Han ZhangPower Internet of Things Key Laboratory of Sichuan Province, State Grid Sichuan Electric Power Research Institute, Chengdu, 610095, China. zhanghan9743@163.com.
Yu ZhanCollege of Carbon Neutrality Future Technology, Sichuan University, Chengdu, 610065, China.
Xinyi LiuCollege of Carbon Neutrality Future Technology, Sichuan University, Chengdu, 610065, China.
Zhengwei ChangPower Internet of Things Key Laboratory of Sichuan Province, State Grid Sichuan Electric Power Research Institute, Chengdu, 610095, China.
Yumin ChenPower Internet of Things Key Laboratory of Sichuan Province, State Grid Sichuan Electric Power Research Institute, Chengdu, 610095, China.
Hongli LiuPower Internet of Things Key Laboratory of Sichuan Province, State Grid Sichuan Electric Power Research Institute, Chengdu, 610095, China.

Funding

the Science and Technology Project of State Grid Corporation of China 1400-202426279A-1-1-ZH
6 · The paper itself

Abstract

Global climate change is one of the major environmental challenges faced today, and carbon dioxide (CO

Indexed as

Carbon column concentrationElectricity consumptionMachine learningPollution reduction and carbon mitigationTime rolling correlation

Identifiers

PMID40121275
PMCPMC11929772

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.