PersonAI - User-Centered AI-based energy services built on personal preference models

The energy-intensive and inefficient building sector is responsible for around 40% of final energy consumption and 36% of CO2 emissions and thus plays a key role in achieving climate targets. To increase the share of renewable energy and reduce energy consumption, buildings, neighbourhoods, etc. must have a high degree of flexibility and efficiency. This requires the systematic embedding of cyber technologies (monitoring, communication between subsystems) and innovative energy services such as demand-side management or predictive control. Internet of Things (IoT) technologies in combination with Artificial Intelligence (AI) are essential for the generation, provision and evaluation of these large amounts of data.