Science Explorer Interactive view Map

Power Systems and Technologies

Power Systems and Technologies is a research topic within Electrical and Electronic Engineering. Science Explorer counts 38k research works in it since 1950. 2.3% of them reached the world's top 10% most cited for their field and year.

This cluster of papers focuses on the integration and standardization of power system data, particularly through the use of the Common Information Model (CIM) and CIM XML. The papers cover topics such as data exchange, smart grid applications, modeling, interoperability, and the development of standards for electric utility applications.

  • Common Information Model
  • CIM XML
  • Power System
  • Data Exchange
  • Smart Grid
  • Modeling
  • Interoperability
  • Electric Utility
  • Standards
  • Integration
Research works
38k
fractional, since 1950
In the world top 10%
884
per year above
Top-10% rate
2.3%
share of its works in the world top 10%
Growth, 2013–17 → 2018–22
-44%
the tick is no change

Which countries lead Power Systems and Technologies research?

By volume, China and the United States publish the most (3.6k and 278 works in 2022–2025).

By volume, 2022–2025

  1. 1 China 3.6k works
  2. 2 United States 278 works
  3. 3 India 253 works
  4. 4 ?? 168 works
  5. 5 Indonesia 99 works
  6. 6 Japan 88 works
  7. 7 Russia 71 works
  8. 8 Germany 70 works
  9. 9 United Kingdom 58 works
  10. 10 France 57 works

How concentrated that is

The same countries as shares of everything the list above accounts for. A node where two countries do two thirds of the work and one spread evenly across twelve read alike as a ranking and not at all alike here.

China: 76.1%United States: 5.8%India: 5.3%??: 3.5%6 others listed: 9.3%76%largest
China3,626 · 76.1%United States278 · 5.8%India253 · 5.3%??168 · 3.5%6 others listed443 · 9.3%

Shares of the rows listed above, not of the whole node.

Which institutions lead Power Systems and Technologies research?

By volume in 2022–2025, State Grid Corporation of China (China) publishes the most Power Systems and Technologies research, followed by China Southern Power Grid (China) and Shanghai Electric (China).

Who are the leading researchers in Power Systems and Technologies?

The most-cited researchers publishing on Power Systems and Technologies include Frede Blaabjerg, Remus Teodorescu and Mohammad Shahidehpour.

  1. 1 Frede Blaabjerg Denmark 12k citations
  2. 2 Remus Teodorescu Denmark 4.2k citations
  3. 3 Mohammad Shahidehpour United States 3.3k citations

Ranked by citations received across their whole record, among researchers with at least three works on this topic.

Where is Power Systems and Technologies research done?

The largest centres of Power Systems and Technologies research in 2022–2025 are Beijing (China), Shanghai (China), Guangzhou (China) and Nanjing (China). Among places with at least 20 works in it, it is an unusually large share of all research in Baishan, Beijing and Yangpu.

Largest cities, 2022–2025

  1. 1 Beijing China 906 works
  2. 2 Shanghai China 368 works
  3. 3 Guangzhou China 367 works
  4. 4 Nanjing China 248 works
  5. 5 Chengdu China 114 works
  6. 6 Wuhan China 106 works
  7. 7 Xi'an China 99 works
  8. 8 Beijing ?? 96 works
  9. 9 Jinan China 90 works
  10. 10 Tianjin China 85 works

Where it is the local speciality

  1. BaishanCN · 25.8 works136×
  2. Beijing95.6 works43×
  3. YangpuCN · 26.7 works27×
  4. GurgaonIN · 48.9 works24×
  5. Palo AltoUS · 38.0 works22×
  6. HohhotCN · 70.4 works17×
  7. Jilin CityCN · 26.7 works15×
← less than its size predictsmore →

Location quotient: how much more of its research is in Power Systems and Technologies than the world average.

See Power Systems and Technologies on the map

Where is the best place to study Power Systems and Technologies?

Among universities, judged by research, Southwest Jiaotong University, North China Electric Power University and Nanjing University of Posts and Telecommunications score highest, combining excellence, specialisation, size, growth and international reach. Research strength is one signal when choosing where to study; it does not measure teaching.

0%5%10%mean 5.52%fractional works in this node (log) →share in the world top 10% →Southwest Jiaotong University: 53, 5.2%North China Electric Power University: 172, 2.3%Nanjing University of Posts and Telecommunications: 13, 11.9%Beijing Jiaotong University: 37, 4.6%Nanjing Institute of Technology: 12, 5.4%Shenyang Institute of Engineering: 9, 5.3%Hunan University: 18, 8.3%Xi'an Jiaotong University: 41, 6.3%Northeast Electric Power University: 24, 1.8%Inner Mongolia University of Technology: 8, 4.1%Nanjing University o…Southwest Jiaotong U…Beijing Jiaotong Uni…North China Electric…
above the meannear itbelow it

One dot per university in the table below. The upper left is the interesting corner: small places doing unusually strong work.

#UniversityScoreTop 10%SpecialisationWorksGrowth
1 Southwest Jiaotong UniversityChina 49.75.2%13.0×53 -80.9%
2 North China Electric Power UniversityChina 48.32.3%49.1×172 -69.3%
3 Nanjing University of Posts and TelecommunicationsChina 47.611.9%5.8×13 -92.9%
4 Beijing Jiaotong UniversityChina 46.24.6%11.6×37 -69.0%
5 Nanjing Institute of TechnologyChina 41.85.4%22.1×12 -67.8%
6 Shenyang Institute of EngineeringChina 40.65.3%50.8×9 -33.0%
7 Hunan UniversityChina 38.88.3%5.0×18 -83.3%
8 Xi'an Jiaotong UniversityChina 37.66.3%4.9×41 -55.8%
9 Northeast Electric Power UniversityChina 37.21.8%35.1×24 -83.9%
10 Inner Mongolia University of TechnologyChina 36.04.1%11.8×8 -92.2%

Universities only. Score blends excellence (30%), specialisation (25%), size (20%), growth (15%) and international reach (10%), 2015–2022; growth compares 2010–14 with 2015–19.

Is Power Systems and Technologies research growing?

Output in 2018–2022 was 44% lower than in 2013–2017, peaking in 2011.

19801990200020102020
grewheldshrank

The same series as a ribbon — one cell per year, darker for more. The line above answers how much; this answers when.

Which topics inside it are moving

Growth and decline on one axis around a shared zero. Two lists side by side hide the thing that matters: whether the growth dwarfs the decline, or the other way round.