Science Explorer Interactive view Map

Smart Grid and Power Systems

Smart Grid and Power Systems is a research topic within Electrical and Electronic Engineering. Science Explorer counts 28k research works in it since 1950. 3.3% of them reached the world's top 10% most cited for their field and year.

This cluster of papers focuses on the technology, development, and applications of smart grid systems, including topics such as cloud computing, big data, renewable energy integration, distribution automation, intelligent control, and reliability analysis in the context of electric power systems. The papers also discuss energy efficiency and the impact of advanced metering infrastructure (AMI) on power supply.

  • Smart Grid
  • Cloud Computing
  • Big Data
  • Power System
  • Renewable Energy
  • Distribution Automation
  • Electric Power
  • Intelligent Control
  • Reliability Analysis
  • Energy Efficiency
Research works
28k
fractional, since 1950
In the world top 10%
932
per year above
Top-10% rate
3.3%
share of its works in the world top 10%
Growth, 2013–17 → 2018–22
-33%
the tick is no change

Which countries lead Smart Grid and Power Systems research?

By volume, China and India publish the most (4.2k and 249 works in 2022–2025).

By volume, 2022–2025

  1. 1 China 4.2k works
  2. 2 India 249 works
  3. 3 ?? 182 works
  4. 4 United States 180 works
  5. 5 United Kingdom 42 works
  6. 6 Indonesia 38 works
  7. 7 Japan 34 works
  8. 8 Germany 33 works
  9. 9 South Korea 32 works
  10. 10 Iran 30 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: 83.7%India: 5.0%??: 3.6%United States: 3.6%6 others listed: 4.2%84%largest
China4,200 · 83.7%India249 · 5.0%??182 · 3.6%United States180 · 3.6%6 others listed209 · 4.2%

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

Which institutions lead Smart Grid and Power Systems research?

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

Who are the leading researchers in Smart Grid and Power Systems?

The most-cited researchers publishing on Smart Grid and Power Systems include Mohammad Shahidehpour, Zhao Yang Dong and Kai Wang.

  1. 1 Mohammad Shahidehpour United States 3.3k citations
  2. 2 Zhao Yang Dong Australia 3.1k citations
  3. 3 Kai Wang China 3.1k citations
  4. 4 Hao Chen China 2.6k citations
  5. 5 Yan Zhang Norway 2.6k citations

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

Where is Smart Grid and Power Systems research done?

The largest centres of Smart Grid and Power Systems research in 2022–2025 are Beijing (China), Guangzhou (China), Shanghai (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 1k works
  2. 2 Guangzhou China 419 works
  3. 3 Shanghai China 407 works
  4. 4 Nanjing China 284 works
  5. 5 Wuhan China 139 works
  6. 6 Jinan China 127 works
  7. 7 Beijing ?? 120 works
  8. 8 Xi'an China 119 works
  9. 9 Chengdu China 99 works
  10. 10 Tianjin China 96 works

Where it is the local speciality

  1. BaishanCN · 32.0 works170×
  2. Beijing120.5 works55×
  3. YangpuCN · 37.0 works38×
  4. Palo AltoUS · 48.1 works28×
  5. GurgaonIN · 54.6 works27×
  6. Jilin CityCN · 39.9 works23×
  7. HohhotCN · 91.0 works22×
← less than its size predictsmore →

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

See Smart Grid and Power Systems on the map

Where is the best place to study Smart Grid and Power Systems?

Among universities, judged by research, North China Electric Power University, Northeast Electric Power University and Hohai University 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%20%40%mean 8.93%fractional works in this node (log) →share in the world top 10% →North China Electric Power University: 246, 3.9%Northeast Electric Power University: 37, 11.4%Hohai University: 34, 8.3%Tsinghua Sichuan Energy Internet Research Institute: 11, 6.1%Shanghai Dianji University: 19, 7.2%China Three Gorges University: 18, 9.1%Guangxi University: 10, 29.0%Shanghai University of Electric Power: 37, 3.8%Tianjin University of Technology: 17, 7.4%Shandong University: 53, 3.1%Northeast Electric P…Hohai UniversityTsinghua Sichuan Ene…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 North China Electric Power UniversityChina 47.33.9%70.8×246 -66.6%
2 Northeast Electric Power UniversityChina 46.111.4%53.1×37 -80.0%
3 Hohai UniversityChina 42.78.3%11.8×34 -73.6%
4 Tsinghua Sichuan Energy Internet Research InstituteChina 40.46.1%145.9×11
5 Shanghai Dianji UniversityChina 40.37.2%37.0×19 +7.9%
6 China Three Gorges UniversityChina 39.59.1%16.7×18 -73.7%
7 Guangxi UniversityChina 39.129.0%3.2×10 -80.7%
8 Shanghai University of Electric PowerChina 37.33.8%42.6×37 -76.4%
9 Tianjin University of TechnologyChina 37.17.4%11.9×17 -56.5%
10 Shandong UniversityChina 36.23.1%8.5×53 -35.4%

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 Smart Grid and Power Systems research growing?

Output in 2018–2022 was 33% lower than in 2013–2017, peaking in 2024.

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.