With this project, we wanted to show that by intelligently linking actuators and sensors in a building, significantly more energy can be saved than with conventional methods. mrm^2 is automation for both special systems and building automation. My name is Marc Gruber, I am the technical manager at mrm^2. In 2009 this company was founded. When Marc Gruber was planning his private house, he noticed that there are a lot of small systems on the market that are self-contained but do not work or harmonize together as a whole. The systems are not mature in the sense that they exploit and use the maximum potential. And we wanted to tackle the big picture, pull and generate value from everything, and save more energy than just with a dimmable LED. My name is Johannes Siegle and I am a project manager at mrm^2. The goal of the project was to make building automation more energetic. You insulate buildings, but you leave them largely unregulated. As soon as I enter a room, the presence signal is detected and recorded. We use this presence signal to make predictions for the future. By really only heating the room when someone is in the room, less energy is consumed and we can save costs here. The difference with smart homes is that smart homes are always isolated solutions; only the blinds or only the heating actuator are controlled. Our system connects several buildings. We like to use WAGO in building automation, because they simply have the greatest variety of connectors, especially when it comes to interfaces in buildings. In our opinion, this is the real unique selling point of WAGO. For me, the controllers in particular, as well as the edge devices, are hardware that is state of the art and can be easily used for this purpose. With the WAGO hardware, we had found a hardware with which it was possible to directly apply the applications for the software of the entire system and to implement them very easily. I actually became aware of the PFC200 when we were doing the blinds and lighting control here in the building automation in our building and from then on it has accompanied us again and again and we have used it in many projects. So data security and AI. Of course, that was also a big issue in the decision-making phase right from the start. How can we process the data? The data collected is secure in the sense that it is anonymous, because no personal movement profile is recorded, only the presence signal, which cannot be assigned to an individual person. The concept can be applied in larger buildings such as office buildings, factory halls, but also in private households. For the future, I would like to see more AI coming into the buildings and to be able to save energy that way as well. Not only through external insulation, but also by including active algorithms in KfW subsidies, for example. For I see a great deal of potential for saving energy here.