The rate of response to the deviation depends on the selected control algorithm. The controller is supplied with an active self-learning operating mode, enabling it to automatically adapt to the controlled system (type of building construction, type of radiators, size of the rooms, etc.). After a certain learning period, the controller optimizes its parameters and then operates with the learned parameters.