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The "Smart Heating" sub-project focuses on controlling a heating system based on various influencing factors measured by Homematic IP sensors. The heating behavior data is visualized and presented in an understandable manner. A user interface allows users to input parameters for adjusting the heating behavior. Using ChatGPT, the current data and new parameters are used to calculate the potential CO2 savings.

The "Climate Cube" measures various parameters within any given room, allowing for the assessment of the general room climate and its quality. The measured values are also visually presented, indicating the quality of the room climate and suggesting possible measures for improving it. The Climate Cube can be deployed in different rooms to monitor the indoor climate, ensuring a healthy environment that contributes to productivity of individuals. Furthermore, continuous data collection allows for the identification of potential energy savings, ultimately reducing energy consumption.

The "Energy Monitoring" sub-project records the energy consumption of different devices or appliances, enabling the detection of irregularities. In such cases, the user receives a notification via Telegram, allowing them to take action, such as switching off specific devices, to counteract the irregularities. This helps save energy and costs.

Figure: Ecological footprint from Pixabay