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Topic · Control and Systems Engineering

Thermal Analysis in Power Transmission

Thermal Analysis in Power Transmission is a research topic within Control and Systems Engineering. Science Explorer counts 16k research works in it since 1950. 8.3% of them reached the world's top 10% most cited for their field and year.

This cluster of papers focuses on the implementation, impact, and optimization of dynamic line rating systems for power networks. It covers topics such as thermal analysis of transmission lines, reliability impact of wind power integration, real-time monitoring, ampacity forecasting, network topology optimization, and the use of battery energy storage. The research aims to enhance the capacity and reliability of power networks through innovative approaches to dynamic line rating.

  • Dynamic Line Rating
  • Thermal Analysis
  • Transmission Lines
  • Wind Power Integration
  • Reliability Impact
  • Real-Time Monitoring
  • Ampacity Forecasting
  • Network Topology Optimization
  • Battery Energy Storage
  • Probabilistic Modeling
Research works
16k
fractional, since 1950
In the world top 10%
1.3k
per year above
Top-10% rate
8.3%
share of its works in the world top 10%
Growth, 2013–17 → 2018–22
+31%
the tick is no change

Which countries lead Thermal Analysis in Power Transmission research?

By volume, China and the United States publish the most (1.4k and 221 works in 2022–2025).

By volume, 2022–2025

  1. 1 China 1.4k works
  2. 2 United States 221 works
  3. 3 India 160 works
  4. 4 Indonesia 128 works
  5. 5 Italy 94 works
  6. 6 Russia 88 works
  7. 7 Brazil 84 works
  8. 8 Germany 81 works
  9. 9 ?? 79 works
  10. 10 United Kingdom 70 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: 58.1%United States: 9.2%India: 6.7%Indonesia: 5.3%6 others listed: 20.7%58%largest
China1,392 · 58.1%United States221 · 9.2%India160 · 6.7%Indonesia128 · 5.3%6 others listed496 · 20.7%

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

Which institutions lead Thermal Analysis in Power Transmission research?

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

By volume, 2022–2025

  1. 1 China Southern Power Grid (China)China 94 works
  2. 2 State Grid Corporation of China (China)China 89 works
  3. 3 Shanghai Electric (China)China 69 works
  4. 4 North China Electric Power UniversityChina 67 works
  5. 5 Xi'an Jiaotong UniversityChina 60 works
  6. 6 China Electric Power Research Institute?? 37 works
  7. 7 Chongqing UniversityChina 34 works
  8. 8 Electric Power Research InstituteUnited States 28 works
  9. 9 Southwest Jiaotong UniversityChina 27 works
  10. 10 Tsinghua UniversityChina 27 works

Where is Thermal Analysis in Power Transmission research done?

The largest centres of Thermal Analysis in Power Transmission research in 2022–2025 are Beijing (China), Shanghai (China), Guangzhou (China) and Xi'an (China). Among places with at least 20 works in it, it is an unusually large share of all research in Beijing and Palo Alto.

Largest cities, 2022–2025

  1. 1 Beijing China 300 works
  2. 2 Shanghai China 127 works
  3. 3 Guangzhou China 126 works
  4. 4 Xi'an China 86 works
  5. 5 Wuhan China 61 works
  6. 6 Chengdu China 58 works
  7. 7 Nanjing China 53 works
  8. 8 Chongqing China 50 works
  9. 9 Tianjin China 44 works
  10. 10 Beijing ?? 39 works

Where it is the local speciality

  1. Beijing39.3 works29×
  2. Palo AltoUS · 28.4 works27×
← less than its size predicts1×more →

Location quotient: how much more of its research is in Thermal Analysis in Power Transmission than the world average.

See Thermal Analysis in Power Transmission on the map

Where is the best place to study Thermal Analysis in Power Transmission?

Among universities, judged by research, The University of Texas at Dallas, Chongqing University and Xi'an Jiaotong 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 10.4%fractional works in this node (log) →share in the world top 10% →The University of Texas at Dallas: 12, 32.4%Chongqing University: 34, 14.1%Xi'an Jiaotong University: 60, 4.4%Southwest Jiaotong University: 27, 17.0%North China Electric Power University: 67, 3.2%Shandong University: 24, 6.6%Tianjin University: 26, 5.5%China Three Gorges University: 11, 8.9%Northeast Electric Power University: 9, 10.4%Moscow Power Engineering Institute: 11, 1.5%The University of Te…Southwest Jiaotong U…Chongqing UniversityXi'an Jiaotong Unive…
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 The University of Texas at DallasUnited States 67.132.4%19.4×12 —
2 Chongqing UniversityChina 54.614.1%9.9×34 +1.3%
3 Xi'an Jiaotong UniversityChina 54.34.4%11.8×60 +69.0%
4 Southwest Jiaotong UniversityChina 52.117.0%11.0×27 -45.5%
5 North China Electric Power UniversityChina 48.53.2%31.8×67 -9.3%
6 Shandong UniversityChina 43.86.6%6.3×24 +171.8%
7 Tianjin UniversityChina 42.05.5%6.9×26 +114.6%
8 China Three Gorges UniversityChina 38.18.9%16.6×11 -27.6%
9 Northeast Electric Power UniversityChina 37.210.4%21.6×9 -71.7%
10 Moscow Power Engineering InstituteRussia 35.71.5%23.5×11 —

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 Thermal Analysis in Power Transmission research growing?

Output in 2018–2022 was 31% higher than in 2013–2017, peaking in 2025. The fastest-growing topics are Thermal Analysis in Power Transmission.

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.