Supervisory control algorithms, saving energy and improving the indoor climate and overall comfort
.controls is our control framework for the development and execution of supervisory algorithms that autonomously optimize the operation of technical building equipment and energy supply systems. Thus, .controls enables predictive and economic optimization with minimal interventions in the local control systems of the assets. With the help of AI-based control modules from the .controls library, you can efficiently develop powerful cloud-based control. For secure communication with the assets, you can use the .io cloud platform and .controls data structuring to scale generic algorithms to a variety of heterogeneous properties.