TU Darmstadt / ULB / TUbiblio

Browse by Person

Up a level
Export as [feed] Atom [feed] RSS 1.0 [feed] RSS 2.0
Group by: No Grouping | Item Type | Date | Language
Number of items: 12.

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), p. 923. MDPI, e-ISSN 1996-1073,
DOI: 10.3390/en15030923,
[Article]

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, pp. 357-362. Elsevier B.V., ISSN 2212-8271,
DOI: 10.1016/j.procir.2021.11.060,
[Article]

Sarikaya, Erkut ; Brockhaus, Benjamin ; Fertig, Alexander ; Ranzau, Heiko ; Stanula, Patrick ; Walther, Jessica
Weigold, Matthias ; Metternich, Joachim (eds.) (2021):
Data Driven Production – Application Fields, Solutions and Benefits. (Publisher's Version)
Darmstadt, DOI: 10.26083/tuprints-00017874,
[Report]

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), pp. 5283-5290. ISSN 1803-1269, e-ISSN 1805-0476,
DOI: 10.17973/MMSJ.2021_11_2021146,
[Article]

Walther, Jessica ; Weigold, Matthias (2021):
A Systematic Review on Predicting and Forecasting the Electrical Energy Consumption in the Manufacturing Industry.
In: Energies, 14 (4), p. 968. MDPI, ISSN 1996-1073,
DOI: 10.3390/en14040968,
[Article]

Walther, Jessica ; Weigold, Matthias (2021):
A Systematic Review on Predicting and Forecasting the Electrical Energy Consumption in the Manufacturing Industry. (Publisher's Version)
In: Energies, 14 (4), MDPI, e-ISSN 1996-1073,
DOI: 10.26083/tuprints-00019293,
[Article]

Dietrich, Bastian ; Walther, Jessica ; Weigold, Matthias ; Abele, Eberhard (2020):
Machine Learning Based Very Short Term Load Forecasting of Machine Tools.
In: Applied Energy, 276, p. 115440. Elsevier B.V., ISSN 03062619,
DOI: 10.1016/j.apenergy.2020.115440,
[Article]

Walther, Jessica ; Dietrich, Bastian ; Abele, Eberhard (2019):
Generic Machine Learning Approach for Very Short Term Load Forecasting of Production Machines.
In: Proceedings of 11th International Conference on Applied Energy, August 12-15, pp. Paper ID -589,
Västerås (Sweden), [Conference or Workshop Item]

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, pp. 683-688. Elsevier B.V., DOI: 10.1016/j.procir.2018.12.021,
[Article]

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, pp. 570-575. Elsevier B.V., DOI: 10.1016/j.procir.2019.03.157,
[Article]

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, pp. 705-710. Elsevier B.V., DOI: 10.1016/j.procir.2019.01.060,
[Article]

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

This list was generated on Tue May 24 04:22:31 2022 CEST.