Russia’s AI Is Quietly Optimizing Energy Use in Schools and Hospitals

From digital twins to automated heat control, smart infrastructure is gaining ground.

In Russia, an intelligent control system called AIS ROKS is managing energy consumption across schools, hospitals, and government buildings. Developed by local tech firm IT-M, the platform uses artificial intelligence to analyze usage patterns and optimize resource distribution. The result? A 20–30% drop in utility costs for standard buildings—and up to 15–20% savings in those already equipped with automated systems.

At the core of AIS ROKS are digital twins—virtual replicas of physical buildings that continuously monitor and simulate energy behavior. Combined with AI-driven algorithms, the system can adjust consumption in real time, identifying inefficiencies before they turn into expenses.

According to the government of Perm Krai, the system is already live in healthcare, education, and administrative institutions across the region.

And it’s not the only smart energy tech emerging in Russia.

A pilot project called “Smart Heat” is also showing promising results, with a 15% reduction in gas usage and 22% less electricity consumed thanks to dynamic heating control.

Meanwhile, on the federal territory of Sirius—a special innovation zone on the Black Sea coast—engineers are building a next-gen prototype for large-scale industrial facilities. The goal is to create an AI-managed load-balancing system that automatically allocates electrical power between heavy-duty installations, avoiding spikes and maximizing efficiency.

Beyond lowering carbon footprints, the project promises increased energy security for factories and major enterprises—along with serious cost savings.

This wave of smart infrastructure may not grab headlines like flashy AI models or humanoid robots, but it’s reshaping the invisible systems that power real-world life. Quietly, Russia is building an energy grid that thinks.