2024: Experimenting of AI-based heat production management process
A machine-learning based complex solution to control and optimize the heat production and energy demand of buildings by using existing sensors of the heat node. Thanks to intelligent control, cost savings of up to 40% can be achieved. A major advantage of this solution is the economy in both set-up time and installation. The developed software solution is self-learning, taking into account the specific needs of the building and its users