Forschungsschwerpunkt: Energiemanagement & Monitoring

  • Energieeneffizienz durch Digitalisierung / Industrie 4.0
  • Messsysteme und IKT-Infrastruktur zur Energiedatenerfassung
  • Machine Learning zur Entwicklung von Assistenzsystemen für das Energiemanagement
  • Machine Learning zur Prognose von Energiesystemen

Studentische Arbeiten, ADPs, Forschungsseminare, Hiwi-Stellen

Veröffentlichungen und Vorträge

Jump to: 2019 | 2018
Number of items: 4.

2019

Walther, Jessica and Spanier, Dario and Panten, Niklas and Abele, Eberhard (2019):
Very Short-Term Load Forecasting on Factory Level — A Machine Learning Approach.
In: Procedia CIRP, 26th CIRP Conference on Life Cycle Engineering Purdue University, West Lafayette, IN (USA), Elsevier B.V., pp. 705-710, 80, DOI: 10.1016/j.procir.2019.01.060,
[Article]

Sossenheimer, Johannes and Walther, Jessica and Fleddermann, Jan and Abele, Eberhard (2019):
A Sensor Reduced Machine Learning Approach for Condition-based Energy Monitoring for Machine Tools.
In: Procedia CIRP, 52nd CIRP Conference on Manufacturing Systems, Ljubljana (Slovenia), Elsevier B.V., pp. 570-575, 81, DOI: 10.1016/j.procir.2019.03.157,
[Article]

Weber, Thomas and Sossenheimer, Johannes and Schäfer, Steffen and Ott, Moritz and Walther, Jessica and Abele, Eberhard (2019):
Machine Learning based System Identification Tool for data-based Energy and Resource Modeling and Simulation.
In: Procedia CIRP, 26th CIRP Conference on Life Cycle Engineering (LCE) Purdue University, West Lafayette, IN (USA), Elsevier B.V., pp. 683-688, 80, DOI: 10.1016/j.procir.2018.12.021,
[Article]

2018

Völker, Daniel and Walther, Jessica (2018):
PHI-Factory – Flexible Fabriknetzführung.
In: VDE Tec Summit, 13. und 14. November 2018, Berlin, [Conference or Workshop Item]

This list was generated on Mon Oct 14 03:33:25 2019 CEST.
Picture: PTW