These are published research, not product pages: original observations computed live from the same graph that powers the applications; assets, grid topology, markets, ownership, water and digital infrastructure. They exist to prove the substrate generalises: a new validated relationship improves several of these at once. Each states the question it answers, its evidence class, geography, vintage and maturity; they are not equally authoritative, and they say so. Cite them, link them, challenge them: every one carries a method & receipt footer and a reproducible API route.
What does one day on a grid actually pay each technology; and who earns above or below the average?
A grid can be 95% clean by annual energy and still lean on imports or fossil backup for hundreds of hours. Which hours?
As solar's share grows, what happens to the price solar earns? A decade of capture rates, per grid.
Of the capacity that enters an interconnection queue, how much is ever built; by cohort, technology and region?
How much of an operator's thermal fleet depends on a single water system that fails in the same drought?
The cheapest clean-power zones and the existing digital ecosystems are different places. How far apart?
Which substations are structural single points; remove one and part of the network is cut off, generation attached?
When Germany sells France 100 MW, which borders physically carry it? Loop flows through third countries, quantified.