@inproceedings{RungeReicheNiemannetal.2022,
  author    = {Maxim Runge and Leif-Thore Reiche and Karl-Heinz Niemann and Alexander Fay},
  title     = {Universal energy information model for industrial communication},
  series = {2022 IEEE 27th International Conference on Emerging Technologies and Factory Automation (ETFA)},
  publisher = {IEEE},
  isbn      = {978-1-6654-9996-5},
  doi       = {10.25968/opus-2599},
  url       = {http://nbn-resolving.de/urn:nbn:de:bsz:960-opus4-25993},
  year      = {2022},
  abstract  = {With the use of an energy management system in an industrial company according to ISO 50001, a step-by-step increase in energy efficiency can be achieved. The realization of energy monitoring and load management functions requires programs on edge devices or PLCs to acquire the data, adapt the data type or scale the values of the energy information. In addition, the energy information must be mapped to communication interfaces (e.g. based on OPC UA) in order to convey this energy information to the energy management application. The development of these energy management programs is associated with a high engineering effort, because the field devices from the heterogeneous field level do not provide the energy information in standardized semantics. To mitigate this engineering effort, a universal energy data information model (UEIM) is developed and presented in this paper.},
  language  = {en}
}