China maps entire renewable grid using AI

researchers from peking university and alibaba group's damo academy processed 7.56 terabytes of sub-metre satellite imagery to create the first complete, high-resolution inventory of a nation's renewable infrastructure. they found that expanding the geographic scope of coordination between wind and solar sources increases grid stability by offsetting variability, whereas china's current provincial management leads to inefficiencies and power curtailment. this development addresses a critical bottleneck as china's data center sector, consuming 22.9 billion kilowatt-hours in q1 2026, expands into western and northern regions where renewable complementarity is highest. the system enables grid operators to identify and pair complementary energy sources across vast distances to stabilize the power supply.