District heating and cooling systems have to balance production, network capacity, weather, customer demand, and operating costs. Better data makes it easier to see what is happening across that system and where action will have the biggest effect.
We work with data from meters, substations, buildings, weather stations, and production systems. That data can be used to forecast demand, detect faults, improve planning, and actively control demand when the system is under pressure.
This can reduce peak loads and expensive production, but it also improves everyday operation. The same foundation gives operators better information and better input for decisions about production, network capacity, and future investments.