Trend · rank 81 of 250

Distributed power

Rooftop solar, local storage and microgrids are spreading, shifting control away from central utilities and adding resilience when grids fail while complicating network coordination and cost recovery.

Strategic InfrastructureEnergy, networks & climate resiliencepowerclean energyresilience

Second pass: Carried forward from the first pass unchanged. Held by all three panel models.

Sensitivity and network position

Rank
81of 250
Sensitivity
8.3rank 135
Breadth
1of 20 scenarios High or above
PageRank
43.8rank 71
Eigenvector
2.5
Betweenness
33.2
Links
18trends at Moderate similarity or above
Composite
26.4

Attention over three years

How much this trend is read about on Wikipedia and searched for on Google, week by week, set against the typical trend in the list so that what moves every trend at once is taken out. 100 is this trend's own three-year average. The score measures public attention, which is not the same as the strength of the force: a trend can deepen unnoticed, and a news event can lift attention for a fortnight.

Share of attention
0.09%rank 189 of 250 · a year earlier 0.09%
Now
101
Over a year
+7%Steady
Over three years
−3%
Peak
14816 Jun 2024
Sources
Bothagreement 0.06
Coverage
9languages · 49 nations

Trailing 4-week average. 100 is this trend’s three-year average.

By language

Wikipedia reading in each language edition where the trend’s pages are read enough to measure (9 of 28). Share is of all the readers counted.

LanguageShareNowOver a yearThree years
English71%89−1%
German14%89+7%
Chinese4%91−8%
Spanish3%1010%
Italian3%65−38%
Japanese2%98+53%
Persian2%66−31%
Russian1%104+21%
French1%70−16%

By country

Google search interest over the three years, as a share of each country’s searching. 100 is the nation where interest is highest. The search terms are English, which favours countries that search in English.

The 12 highest of 49 nations with a reading. All countries (CSV).

By region and G20 member

Attention to this trend inside each place, from Google searches made in its countries and Wikipedia reading in the languages mostly read there, averaged where both exist. Each line compares the trend with its own past in that place; the lines do not compare places.

Regions

PlaceRead fromNow90 days1 year3 yearsThree years
North AmericaGoogle in 2 countries + Wikipedia in English99−21%+9%−3%
EuropeGoogle in 7 countries + Wikipedia in German, French, Italian98−15%+14%+8%
Indo-PacificGoogle in 11 countries + Wikipedia in Japanese, Chinese119−23%+83%+38%
South AsiaGoogle in 2 countries87−2%+2%+52%
Gulf and Middle EastGoogle in 1 country + Wikipedia in Persian107−26%+14%+26%
AfricaGoogle in 2 countries182+23%+159%+113%
Latin America and CaribbeanGoogle in 2 countries + Wikipedia in Spanish112−30%+33%+44%
Russia and EurasiaWikipedia in Russian104+24%+21%−1%

G20 members

PlaceRead fromNow90 days1 year3 yearsThree years
AustraliaGoogle158+20%+43%+101%
BrazilGoogle141−37%+117%+247%
CanadaGoogle120+11%+16%+15%
FranceGoogle + Wikipedia in French85−45%+39%−10%
GermanyGoogle + Wikipedia in German120+20%+24%+31%
IndiaGoogle80−10%−9%+31%
IndonesiaGoogle232−4%+905%+1362%
ItalyGoogle + Wikipedia in Italian68−27%−24%−34%
JapanGoogle + Wikipedia in Japanese102−51%+143%+51%
South KoreaGoogle120−38%+653%+50%
MexicoGoogle102−57%+41%+104%
RussiaWikipedia in Russian104+24%+21%−1%
South AfricaGoogle289+124%+345%+155%
United KingdomGoogle131−2%+36%+34%
United StatesGoogle + Wikipedia in English97−27%+10%−4%

Share of attention by region

GINC Share of Attention: this trend's share of all the public attention the trends in the list draw, worldwide and in each region, week by week (a 4-week average). Each place is read from the Wikipedia languages mostly read there and Google searching in its countries; where a place's language is shared with others, as English is, Google stands alone.

PlaceShare, last 13 weeksRank thereA year earlierRead from
World0.09%189 of 2500.09%Wikipedia reading in all 28 languages, and Google searching worldwide
Asia Pacific0.07%207 of 2500.07%Wikipedia reading in the region's own languages, not English; Google searching in 15 countries, not China
Europe0.20%122 of 2500.17%German, French, Italian, Polish, Dutch and Swedish reading; Google searching in 10 countries, the UK among them
Africa0.04%175 of 2500.06%Google searching in 7 countries; Afrikaans and Swahili reading reaches too few trends to count
South America0.04%225 of 2500.04%Spanish and Portuguese reading, Spanish also read in Spain; Google searching in 5 countries
North America0.07%162 of 2490.06%Google searching in the United States, Canada and Mexico; English reading cannot be split by country
Oceania0.29%84 of 2490.29%Google searching in Australia and New Zealand; English reading cannot be split by country
United States0.09%141 of 2490.08%Google searching; English reading cannot be split by country
United Kingdom0.11%128 of 2490.06%Google searching; English reading cannot be split by country
India0.33%52 of 2490.17%Google searching; Hindi, Bengali and Tamil reading reaches too few trends to count, and English cannot be split by country
China···Wikipedia and Google are blocked in China; no open source counts reading there
Russia0.01%203 of 2030.01%Russian reading, which is also done across the former Soviet states; Google's figures for Russia cannot be bought
Japan0.02%240 of 2500.02%Japanese reading and Google searching
Germany0.40%65 of 2500.37%German reading and Google searching
France0.01%250 of 2500.01%French reading, also done in Africa and Canada, and Google searching
Italy0.06%193 of 2500.12%Italian reading and Google searching
South Korea0.05%199 of 2500.05%Korean reading and Google searching
Indonesia0.02%207 of 2500.02%Google searching; Indonesian reading reaches too few trends to count
Brazil0.06%196 of 2500.05%Portuguese reading and Google searching
Türkiye0.00%227 of 2500.00%Google searching; Turkish reading reaches too few trends to count

Relation to each scenario

A trend relates to a scenario when it changes how likely the scenario is, how hard it lands, or is itself sharply changed by it. Each score is the median of three scores given separately by the members of the model panel.

RelationScenarioFamily
4 · HighHybrid coercion ends in an infrastructure blackout S04Geopolitical and security
3 · ModerateA major disaster disables the national economic core S07Energy, climate and resources
2 · LowCheap firm clean power becomes available at scale S15 ↗Energy, climate and resources
1 · Very lowA regional war closes a globally important sea route S03Geopolitical and security
0 · Not relatedCritical trade divides into rival blocs S01Economic and trade
0 · Not relatedA global funding seizure reaches sovereign balance sheets S02Economic and trade
0 · Not relatedA disputed transfer of power breaks effective government S05Geopolitical and security
0 · Not relatedTwo breadbasket failures trigger a food availability crisis S06Energy, climate and resources
0 · Not relatedAn AI deployment step causes abrupt labour displacement S08Technology and infrastructure
0 · Not relatedA cryptographic breakthrough invalidates digital trust S09Technology and infrastructure
0 · Not relatedA novel respiratory pathogen exceeds health surge capacity S10Health
0 · Not relatedA creditor agreement releases fiscal capacity S11 ↗Economic and trade
0 · Not relatedA cross-regional market access compact redirects investment S12 ↗Economic and trade
0 · Not relatedA great-power agreement lowers economic security barriers S13 ↗Geopolitical and security
0 · Not relatedA verified Middle East settlement restores access S14 ↗Geopolitical and security
0 · Not relatedA validated farming package raises water-efficient output S16 ↗Energy, climate and resources
0 · Not relatedAI-directed research produces a reproducible discovery step S17 ↗Technology and infrastructure
0 · Not relatedA public service platform reaches inclusive operation S18 ↗Technology and infrastructure
0 · Not relatedAffordable preventive treatments reduce chronic illness S19 ↗Health
0 · Not relatedA live outbreak proves rapid distributed pandemic defence S20 ↗Health

Similarity = 0.3 × shared tags (Jaccard) + 0.3 × likeness of scenario profiles (cosine) + 0.3 × likeness of names and descriptions (TF-IDF cosine) + 0.1 if in the same capability domain, cut into seven levels at 0.12, 0.22, 0.33, 0.45, 0.58, 0.72. Shown at Moderate and above.

SimilarityTrendThemeRank
5 · Very highFirm & black-start capacityEnergy, networks & climate resilience119
4 · HighTelecom network resilienceEnergy, networks & climate resilience35
4 · HighElectrification of heat & industryEnergy, networks & climate resilience70
4 · HighWater treatment & desalinationEnergy, networks & climate resilience89
4 · HighRenewable generation expansionEnergy, networks & climate resilience128
4 · HighGrid expansion & demand flexibilityEnergy, networks & climate resilience131
4 · HighReliable energy access gapsEnergy, networks & climate resilience197
4 · HighElectric transport & charging networksEnergy, networks & climate resilience211
3 · ModerateInfrastructure ageing & maintenance backlogEnergy, networks & climate resilience39
3 · ModerateUrban population concentrationEnergy, networks & climate resilience61
3 · ModerateCritical infrastructure protectionConflict & security80
3 · ModerateFossil fuel supply & refiningEnergy, networks & climate resilience112
3 · ModerateSubsea cable & pipeline dependenceEnergy, networks & climate resilience114
3 · ModerateData-centre power & water demandEnergy, networks & climate resilience144
3 · ModerateConnected infrastructure operationEnergy, networks & climate resilience145
3 · ModerateUrban cooling infrastructureEnergy, networks & climate resilience151
3 · ModerateSatellite connectivity expansionEnergy, networks & climate resilience167
3 · ModerateSatellite positioning & timing dependenceEnergy, networks & climate resilience190