The grid is now being asked to read the weather itself
the grid is now being asked to read the weather itself: deepmind’s weathernext 3 gives operators hourly wind and solar generation forecasts, a 10 million kilowatt chinese hydro wind solar base runs an ai commander with 60 day runoff looks, and elia cut demand forecast error by 30 percent.
the turbine now files its own output.
Context
Bloomberg reported on September 3 that Google DeepMind's new weather model goes hourly for power markets, forecasting wind at turbine height and sunlight. DeepMind says WeatherNext 3 is the first global weather model to generate forecasts every hour of the day.
Xinhua reported on July 16 the launch of China's first AI smart operation model for a 10-million-kilowatt-class integrated hydropower, wind and solar base, on the Yalong River, described as an AI commander.
The hourly WeatherNext 3 forecasts and the 10-million-kilowatt hydro wind solar AI commander match the sources.
'60 day runoff looks' and 'Elia cut demand forecast error by 30 percent' were not seen as exact claims in the excerpts read, so they are unsupported here, not refuted. Elia's pages describe long use of machine learning for forecasting.
'The turbine now files its own output' is the author's opinion.
Related work
- Google DeepMind: WeatherNext 3 ↗The model.
- Bloomberg: hourly for power markets ↗Wind and solar use.
- People's Daily: first AI operation model for a clean energy base ↗The 10 million kilowatt base.
Watch next
- Look for Elia's published error figures.
Sources
- Google DeepMinddeepmind.google
- Bloomberg, Sep 3, 2026bloomberg.com
- People's Daily, Jul 16, 2026en.people.cn
Provenance
The note above is reproduced unedited from the original post, first published on Threads on 3 October 2026 at 16:17 IST. Sources are the papers and datasets the note draws on.
View the original post ↗Embed this note
More notes
The air is now being asked to keep its own ledger
the air is now being asked to keep its own ledger: ecmwf’s aifs compo becomes the first ai model to forecast atmospheric composition globally every three hours, cleanair simulates 365 days of pm2.5 over china in ten seconds, and a unified framework maps six pollutants at one kilometer across the whole country. the air now files its own composition report.
read the note →The current is now being asked to draw its own map
the current is now being asked to draw its own map: china’s langya 2.0 predicts six ocean phenomena including internal waves and mesoscale eddies, a deep net called wenhai resolves eddies globally with air sea flux formulas built in, and scripps infers surface currents from the way temperature patterns deform in satellite images. the ocean now files its own circulation report.
read the note →The soil is now being asked to report its own carbon
the soil is now being asked to report its own carbon: a nix color sensor paired with generative data augmentation predicts soil organic carbon without a lab, random forest drives 74 percent of soil health mapping studies, and sentinel 2 tracks five year carbon change across france and italy from 922 samples. the dirt now files its own carbon account.
read the note →