Konferenzpaper | 2022 | Peer reviewed

Reducing Configuration Efforts in Energy Management Systems based on Natural Language Processing Methods and Asset Administration Shells

Autor*innen

Both, Maximilian ; Müller, Jochen ; Diedrich, Christian

DOI

10.1109/ETFA52439.2022.9921479

ISBN-13

#defaultkonferenzband 9781665499965

Weitere Details

Sprache

englisch

Darstellungsform

Text

Schlüsselwörter

Industrie 4.0 , asset administration shell , energy management systems , natural language processing , semantic matching

Zitierstile

Both, M., Müller, J., & Diedrich, C. (2022). Reducing Configuration Efforts in Energy Management Systems based on Natural Language Processing Methods and Asset Administration Shells. In U. UNBEKANNT, ohne Angabe. ohne Angabe: ohne Angabe. doi:10.1109/ETFA52439.2022.9921479

In die Zwischenablage kopieren

Both, M., Müller, J. and Diedrich, C., 2022. Reducing Configuration Efforts in Energy Management Systems based on Natural Language Processing Methods and Asset Administration Shells. In: ohne Angabe. ohne Angabe. ohne Angabe: ohne Angabe.

In die Zwischenablage kopieren

Both, Maximilian, Müller, Jochen & Diedrich, Christian 2022. Reducing Configuration Efforts in Energy Management Systems based on Natural Language Processing Methods and Asset Administration Shells. In ohne Angabe. ohne Angabe. ohne Angabe: ohne Angabe.

American Psychological Association 6th edition (DOI)

Anglia Ruskin University - Harvard

Gesellschaft für Bildung und Forschung in Europa - Harvard