Self-learning model predictive control for dynamic activation of structural thermal mass in residential buildings

•A self-learning MPC algorithm is used to control dynamic heating operations.•Heating operations are optimized according to a dynamic primary energy factor signal.•The algorithm is functional without complex measurements or expert knowledge.•The low computational effort enables implementation on simple and affordable hardware.•Primary energy demand is reduced by up to 7% without reducing thermal comfort.