A living power system is like an organism: power lines are vessels, current is blood. Data, however, are nerve impulses that used to be lost. mAIEnergy connects these 'nerves' to a shared 'brain'. This data repository combines satellite images, electricity meter readings, articles, and weather reports. Among 25 million records, there are readings spanning almost half a century, one per minute. Such an archive inadvertently revealed climate shifts: load spikes pinpointed moments when people first turned on air conditioners en masse. Now this data trains AI to predict demand, reduce carbon footprint, and manage flows from solar, hydro, and hydrogen sources. As a result, grids become more reliable: leaks are found before accidents, and green energy is used without waste. Openness and interoperability (data can be freely found and combined) will allow any developer to strengthen the system, like adding a new nerve node. Thus, discoveries by Faraday are embodied in smart grids, accelerating the green transition.
mAIEnergy contains over 50,000 texts — the equivalent of a small-town personal library. But instead of novels, you'll find load reports and old electricity bills.
AI-managed power grids bring cyberpunk to life: global systems acquire their own pulse, as in William Gibson's novels.