At the moment, Aalborg Forsyning (AF) is transitioning to a production based on renewable sources as they need to stop their coal-fired plant within the next few years. They see smart heat meter data as a tool which they can use to, e.g., optimise production in the future. The first smart heat meters were installed four years ago. This led to a transition from knowing very little to nothing (only through manual annual meter reading) to having nearly real-time data of all customers' consumptions and the whole DH network - a paradigm shift. Thus, at the moment, their main focus is on data curation and facilitating the data so that it can be easily accessed for machine learning and feature extraction in the future. However, they have a few first use cases which they also presented:

• Watts APP (Interface for customers to see their behaviour which also allows for impulses to motivate customers to save energy)
• Measure heat/water loss in the distribution network (Fault detection)
• Business intelligence reporting on consumer behaviour

Further, they mentioned challenges regarding the handling of the data, which includes, e.g., that the data is not equidistant, that low readings make some calculations difficult due to many zero reading, and that the data is poorly suited for tabular data stores, which complicates the needed data warehouse structure.