- Rapport
- Värme och kyla
Industry collaboration for advanced analysis of heat distribution and heating needs
| 2022:867 | Filip Wästberg, Maria Hansson, Rikard Edland
The goal of the project has been to increase the analytical ability in the district heating sector. Also, how more efficient and faster cycles to develop methods whithin advanced data analytics, machine learning and artificial intelligence can be established. The project has both responded to various analytical challenges from the industry and also investigated how the industry can collaborate within digital innovation.
Within the project, a taxonomy for labeling data has been developed. The taxonomy creates an homogenization in the industry which makes it easier to manage big data sets and train algoritms.
Data has been collected from district heating companies, primarily from the analysis application K2 to a common data platform connected to a data science portal.