Deutsch

Fuhrländer-Völker, Daniel ; Walther, Jessica (2018)
PHI-Factory - Flexible Fabriknetzführung.
VDE Tec Summit 2018. Berlin, Germany (13.11.2018-14.11.2018)
Konferenzveröffentlichung, Bibliographie

Englisch

Walther, Jessica (2022)
Hierarchical Electrical Load Forecasting of Industrial Production Systems in the Manufacturing Industry based on Deep Learning.
Technische Universität Darmstadt
doi: 10.26083/tuprints-00021767
Dissertation, Erstveröffentlichung, Verlagsversion

Walther, Jessica ; Dietrich, Bastian ; Grosch, Benedikt ; Lindner, Martin ; Fuhrländer-Völker, Daniel ; Strobel, Nina ; Weigold, Matthias (2022)
A methodology for the classification and characterisation of industrial demand-side integration measures.
In: Energies, 15 (3)
doi: 10.3390/en15030923
Artikel, Bibliographie

Petruschke, Lars ; Walther, Jessica ; Burkhardt, Max ; Luther, Max ; Weigold, Matthias (2021)
Machine Learning Based Identification of Energy States of Metal Cutting Machine Tools Using Load Profiles.
In: Procedia CIRP, 104
doi: 10.1016/j.procir.2021.11.060
Artikel, Bibliographie

Sarikaya, Erkut ; Brockhaus, Benjamin ; Fertig, Alexander ; Ranzau, Heiko ; Stanula, Patrick ; Walther, Jessica
Hrsg.: Weigold, Matthias ; Metternich, Joachim (2021)
Data Driven Production – Application Fields, Solutions and Benefits.
doi: 10.26083/tuprints-00017874
Report, Erstveröffentlichung, Verlagsversion

Dietrich, Bastian ; Walther, Jessica ; Chen, Yurui ; Weigold, Matthias (2021)
A Deep Learning Approach to Electric Load Forecasting of Machine Tools.
In: MM Science Journal, (5)
doi: 10.17973/MMSJ.2021_11_2021146
Artikel, Bibliographie

Walther, Jessica ; Weigold, Matthias (2021)
A Systematic Review on Predicting and Forecasting the Electrical Energy Consumption in the Manufacturing Industry.
In: Energies, 14 (4)
doi: 10.3390/en14040968
Artikel, Bibliographie

Dietrich, Bastian ; Walther, Jessica ; Weigold, Matthias ; Abele, Eberhard (2020)
Machine Learning Based Very Short Term Load Forecasting of Machine Tools.
In: Applied Energy, 276
doi: 10.1016/j.apenergy.2020.115440
Artikel, Bibliographie

Walther, Jessica ; Dietrich, Bastian ; Abele, Eberhard (2019)
Generic Machine Learning Approach for Very Short Term Load Forecasting of Production Machines.
Konferenzveröffentlichung, Bibliographie

Weber, Thomas ; Sossenheimer, Johannes ; Schäfer, Steffen ; Ott, Moritz ; Walther, Jessica ; 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), 80
doi: 10.1016/j.procir.2018.12.021
Artikel, Bibliographie

Sossenheimer, Johannes ; Walther, Jessica ; Fleddermann, Jan ; 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), 81
doi: 10.1016/j.procir.2019.03.157
Artikel, Bibliographie

Walther, Jessica ; Spanier, Dario ; Panten, Niklas ; 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), 80
doi: 10.1016/j.procir.2019.01.060
Artikel, Bibliographie