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Wind power in India: History & Measurement
Wind power generation capacity in India has significantly increased in recent years. As of 31 March 2026, the total installed wind power capacity was 56.00 gigawatts (GW). India has the fourth largest installed wind power capacity in the world. Wind power capacity is mainly spread across the southern, western, and northwestern states. The onshore wind…
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Wind power in India topic overview
The analysis highlights History and Measurement as prominent areas in the source structure around Wind power in India.
Related topics
40
Source areas
6
Connected nodes
46
Extracted relationships
73
Related term clusters
19
Bridge connections
46
What this topic covers Research coverage
Source areas are shown by the number of related topics found in each part of the analysis. Use smaller areas too: they can reveal specialized angles and content gaps.
History · 19 topics
Wind power by state · 7 topics
Overview · 6 topics
Electricity generation · 4 topics
Offshore wind power plants · 2 topics
Repowering wind power projects · 2 topics
Smaller areas are not necessarily less important. They contain fewer connections in this analysis and can be useful for finding specialized angles or coverage gaps.
Key facts & relationships
High-confidence facts extracted from structured source data. Use them as anchors for further research.
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Explore different angles and find fresh ideas to shape your next piece of content.
A structured outline of related entities, concepts and subtopics. Open any item to build a new map centered on it.
Browse the complete topic structure, not only the most central items. Less prominent entities and concepts can reveal missing angles, specialized context and useful research gaps. Each item opens a new analysis centered on that subject.
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Advanced semantic analysis
How Wind power in India connects Entity context
Entity context groups extracted connections by relationship type. Counts show recurrence in the analyzed source; the examples are research signals, not claims about importance.
The extracted context around Wind power in India shows recurring relationship patterns in the source. For example, Wind power in India → Allgaier, British, Coimbatore, Convinced, CSIR, December, Development, Golding, Golding's, In September, India, Indian Council, Indian Meteorological Department, Industrial Research, Maneklal Sankalchand Thacker, New Delhi, Nilakantan, Porbandar, Saurashtra, Scientific Another extracted example is Wind power in India → Centre, CSTEP, December, DNV GL, European Union, Facilitating Offshore Wind, FOWIND, Global Wind Energy Council, GPCL, Gujarat, Gujarat Power Corporation Limited, GW, GWEC, India, March, May, MW, Policy, RfQ, Science. Use these groups to spot repeated connection types before inspecting the individual relationships.
Wind power in India
Top relations
related to history· 29
Wind power in India → Allgaier, British, Coimbatore, Convinced, CSIR, December, Development, Golding, Golding's, In September, India, Indian Council, Indian Meteorological Department, Industrial Research, Maneklal Sankalchand Thacker, New Delhi, Nilakantan, Porbandar, Saurashtra, Scientific
related to Offshore wind power plants· 26
Wind power in India → Centre, CSTEP, December, DNV GL, European Union, Facilitating Offshore Wind, FOWIND, Global Wind Energy Council, GPCL, Gujarat, Gujarat Power Corporation Limited, GW, GWEC, India, March, May, MW, Policy, RfQ, Science
related to Tamil Nadu· 16
Wind power in India → Agency, February, Gujarat, GW, In Muppandal, India, Mundra, MW, November, October, Tamil Nadu, Tamil Nadu Energy Development, Tamil Nadu's, TEDA, The Government, Wind Power
Important terminology
Frequent words and multi-word phrases across the lead, headings, infobox and body. Useful for terminology coverage.
Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.
Wind power in India relationships Subject–Predicate–Object triples
Relationships are represented as Subject → Predicate → Object triples. Confidence describes extraction strength, not the real-world importance of a relationship; lower-confidence rows may be contextual rather than explicit.
TTTA extracted 73 structured relationships around Wind power in India. Examples in this analysis include lighthouses.In 1960 → instance of → to be used for powering water pumps and supplying electricity for remotely situated structures and Wind power in India → related to history → Development. The table shows each extracted connection, where it came from and its confidence.
Subject
Predicate
Object
Confidence
Src
lighthouses.In 1960
instance of
to be used for powering water pumps and supplying electricity for remotely situated structures
0.80
text
the CSIR established a Wind Power Division as part of the new National Aeronautical Laboratory
instance of
to be used for powering water pumps and supplying electricity for remotely situated structures
0.80
text
Wind power in India
related to history
Development
0.60
section
Wind power in India
related to history
India
0.60
section
Wind power in India
related to history
December
0.60
section
Wind power in India
related to history
Maneklal Sankalchand Thacker
0.60
section
Wind power in India
related to history
Indian Council
0.60
section
Wind power in India
related to history
Scientific
0.60
section
Wind power in India
related to history
Industrial Research
0.60
section
Wind power in India
related to history
CSIR
0.60
section
Wind power in India
related to history
The CSIR
0.60
section
Wind power in India
related to history
Wind Power Sub-Committee
0.60
section
No triples extracted yet.
Related concept clusters Related term clusters
Related term clusters group terms that sit near one another in the extracted graph. They are useful for discovering adjacent language and context, but proximity does not by itself imply a factual relationship.
The concept neighborhoods around Wind power in India bring nearby vocabulary together. In this analysis, examples include Power, Wind and India. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
Wind power in India
Power
Wind
India
Capacity
Energy
Gujarat
Mw
Tamil
Offshore
Installed
Nadu
Generation
wind power in india
Power
Wind
India
Capacity
Energy
Gujarat
Mw
Development
Generation
Tamil
Offshore
Potential
wind power
Power
Wind
India
Capacity
Energy
Gujarat
Mw
Generation
Tamil
Offshore
Installed
Nadu
capacity
Installed
Mw
Wind
Tamil
Total
Power
Gujarat
Nadu
Generation
Around
India's
Hub
fourth largest installed wind power capacity in the world
Power
Wind
Installed
Mw
Nadu
India
Tamil
Capacity
Total
Gujarat
Energy
Generation
wind farms
Power
India
Capacity
Energy
Gujarat
Mw
Tamil
Offshore
Installed
Nadu
Generation
Potential
gujarat
Nadu
Tamil
Installed
Wind
Energy
Offshore
Development
Mw
Around
Gw
Projects
Power
tamil nadu
Nadu
Tamil
Offshore
Mw
Total
Wind
Set
Around
Projects
Development
Energy
Renewable
Connections between topic areas Semantic bridges
Semantic bridges connect parts of the graph that would otherwise be more separate. A bridge is a structural signal in this analysis, not a claim that the two topic areas are equivalent.
For Wind power in India, one of the stronger structural bridges in this analysis connects Wind power in India with History. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.
Min side: 3
Wind power in India — History· splits 27 ⟂ 20Wind power in India — Wind power by state· splits 39 ⟂ 8Wind power in India — Overview· splits 40 ⟂ 7Wind power in India — Electricity generation· splits 42 ⟂ 5Wind power in India — Repowering wind power projects· splits 44 ⟂ 3Wind power in India — Offshore wind power plants· splits 44 ⟂ 3
Map overview Semantic statistics
Number of nodes, edges, triples, density and central hubs. Use it to gauge the size and connectivity of the map.
Wind power in India
Nodes47
Edges46
Triples73
Avg. degree1.96
Density0.042553
Components1
Source & methodology
TTTA analyzes the structure around Wind power in India to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History & Measurement, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
