@inproceedings{W{\"u}rgerNiemannFay2018,
  author    = {W{\"u}rger, Andreas and Niemann, Karl-Heinz and Fay, Alexander},
  title     = {Concept for an Energy Data Aggregation Layer for Production Sites : A combination of AutomationML and OPC UA},
  booktitle = {2018 IEEE 23rd International Conference on Emerging Technologies and Factory Automation (ETFA)},
  editor    = {Durante, Luca and Lo Bello, Lucia and Oboe, Roberto},
  isbn      = {978-1-5386-7108-5},
  issn      = {1946-0759},
  doi       = {10.25968/opus-3094},
  institution = {Fakult{\"a}t I - Elektro- und Informationstechnik},
  pages     = {5},
  year      = {2018},
  abstract  = {In industrial production facilities, technical Energy Management Systems are used to measure, monitor and display energy consumption related information. The measurements take place at the field device level of the automation pyramid. The measured values are recorded and processed at the control level. The functionalities to monitor and display energy data are located at the MES level of the automation pyramid. So the energy data from all PLCs has to be aggregated, structured and provided for higher level systems. This contribution introduces a concept for an Energy Data Aggregation Layer, which provides the functionality described above. For the implementation of this Energy Data Aggregation Layer, a combination of AutomationML and OPC UA is used.},
  subject      = {Energiemanagement},
  language  = {en}
}