Evidence map›Paper›PMID 42337089›Full record

ReviewCommunications engineering2026

Operating smart grids by customizing large model agents.

Hanjiang Dong, Haosen Yang, Yuwang Miao, Jizhong Zhu, Kwok Cheung, Haojun Hua, Chao Sun, Shenglin Li, Ziqiang Wang, Chi-Yung Chung

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Communications engineering, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

10 authors.

Hanjiang DongSchool of Electric Power Engineering, South China University of Technology, Guangzhou, Guangdong, China.ORCID http://orcid.org/0000-0002-9248-3868
Haosen YangResearch Center for Grid Modernization, Department of Electrical and Electronic Engineering, The Hong Kong Polytechnic University, Kowloon, Hong Kong SAR, China. haosenyang@dlut.edu.cn.ORCID http://orcid.org/0000-0003-3285-8231
Yuwang MiaoSchool of Electric Power Engineering, South China University of Technology, Guangzhou, Guangdong, China.
Jizhong ZhuSchool of Electric Power Engineering, South China University of Technology, Guangzhou, Guangdong, China. zhujz@scut.edu.cn.ORCID http://orcid.org/0000-0001-5681-1361
Kwok CheungKC-Exousia Consulting, Redmond, WA, USA.
Haojun HuaDepartment of Biomedical Engineering, City University of Hong Kong, Kowloon, Hong Kong SAR, China.
Chao SunDepartment of Electrical and Computer Engineering, University of Waterloo, Waterloo, ON, Canada.ORCID http://orcid.org/0009-0001-2533-001X
Shenglin LiSchool of Electric Power Engineering, South China University of Technology, Guangzhou, Guangdong, China.
Ziqiang WangResearch Center for Grid Modernization, Department of Electrical and Electronic Engineering, The Hong Kong Polytechnic University, Kowloon, Hong Kong SAR, China.
Chi-Yung ChungResearch Center for Grid Modernization, Department of Electrical and Electronic Engineering, The Hong Kong Polytechnic University, Kowloon, Hong Kong SAR, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Operating smart grids is becoming more difficult as renewable energy, electrification, and digital technologies make power systems more complex, data-rich, and fast-changing. This review explains how customizing large model agents for control room tasks could support human operators in monitoring conditions, coordinating across functions, and making timely decisions. It describes a practical pathway for operating smart grids with these agents, including task-focused data preparation, grounded use of grid knowledge, safety checks, staged deployment, and close human supervision. Together, these steps show how large model agents could be introduced into existing grid operations in a careful and useful way.

Identifiers

PMID42337089
PMCPMC13291239

What OpenQuestion holds

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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.