Forschungsschwerpunkt: Künstliche Intelligenz für Energiesysteme

  • Messsysteme und IKT-Infrastruktur zur Energiedatenerfassung
  • Energiekennzahlensysteme zur Bewertung von Energiesystemen
  • Objektorientierte Automationssysteme für hybride, industrielle Micro Grids
  • Integration von Demand-Response in Anlagenbetriebsstrategien
  • Multi-kriterielle, stochastische Optimierung von Energiesystemen in hybriden, industriellen Micro-Grids durch Deep Reinforcement Learning

Studentische Arbeiten, ADPs, Forschungsseminare, Hiwi-Stellen

Veröffentlichungen und Vorträge

Jump to: 2019 | 2018 | 2017 | 2016 | 2015
Number of items: 15.

2019

Weigold, Matthias and Abele, Eberhard and Panten, Niklas and Grosch, Benedikt (2019):
Datengestützte Verfahren für einen energieeffizienten und flexiblen Betrieb von Produktions- und Versorgungstechnik (Teil 4): Reihe: Künstliche Intelligenz, Maschinendaten, Algorithmen, Effizienz, Geschäftsmodelle.
In: Werkstatt + Betrieb : WB - Portal für spanende Fertigung, Carl Hanser Verlag, ISSN 0177-8897, [Online-Edition: https://www.werkstatt-betrieb.de/fachinformationen/e-only/ar...],
[Article]

Sossenheimer, Johannes and Weber, Thomas and Flum, Dominik and Panten, Niklas and Abele, Eberhard and Fuertjes, Tobias Armendia, Mikel and Ghassempouri, Mani and Ozturk, Erdem and Peysson, Flavien (eds.) (2019):
Non-intrusive Load Monitoring on Component Level of a Machine Tool Using a Kalman Filter-Based Disaggregation Approach.
In: Twin-Control, A Digital Twin Approach to Improve Machine Tools Lifecycle, Springer, Cham, pp. 155-165, [Online-Edition: https://doi.org/10.1007/978-3-030-02203-7],
[Book Section]

Grosch, Benedikt and Weitzel, Timm and Panten, Niklas and Abele, Eberhard (2019):
A Metaheuristic for Energy Adaptive Production Scheduling with Multiple Energy Carriers and its Implementation in a Real Production System 2.
80, In: Procedia CIRP, 26th CIRP Life Cycle Engineering Conference, West Lafayette, IN (USA), Elsevier B.V., pp. 203-208, ISSN 2212-8271, DOI: 10.1016/j.procir.2019.01.043,
[Article]

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

Baron, Andreas and Kohne, Thomas and Panten, Niklas and Roloff, Nils and Abele, Eberhard (2019):
Jenseits der Energiemärkte.
114, In: Zeitschrift für Wirtschaftlichen Fabrikbetrieb : ZWF, (9), Carl Hanser Verlag, München, pp. 564-568, ISSN 0947-0085, DOI: 10.3139/104.112151,
[Article]

Kohne, Thomas and Becker, Aron and Weber, Thomas and Panten, Niklas and Abele, Eberhard (2019):
Modeling Approach for Thermal Dependencies in Complex Industrial Energy Supply System.
2, In: 8th DACH+ Conference on Energy Informatics, Abstract, (S2), pp. 13-17, DOI: 10.1186/s42162-019-0098-7,
[Article]

2018

Flick, Dominik and Kuschicke, Felix and Schweikert, Marcelo and Thiele, Thomas and Panten, Niklas and Thiede, Sebastian and Herrmann, Christoph (2018):
Ascertainment of Energy Consumption Information in the Age of Industrial Big Data.
72, In: Procedia CIRP, 51st CIRP Conference on Manufacturing Systems, Stockholm (Sweden), Elsevier B.V., pp. 202-208, ISSN 2212-8271, [Online-Edition: https://doi.org/10.1016/j.procir.2018.03.122],
[Article]

Panten, Niklas and Strobel, Nina and Sossenheimer, Johannes and Abele, Eberhard (2018):
Framework for an Energy Efficient and Flexible Automation Strategy and Control Optimization Approach of Supply Systems within a Thermally-Linked Factory.
72, In: Procedia CIRP, 51st CIRP Conference on Manufacturing Systems, Stockholm (Sweden), Elsevier B.V., pp. 526-532, ISSN 2212-8271, [Online-Edition: https://doi.org/10.1016/j.procir.2018.03.238],
[Article]

Panten, Niklas (2018):
Energieflusssteuerung in der thermisch vernetzten Produktion.
In: Kolloquium "Wärmewende", 25. Februar 2018, Hochschule Darmstadt, [Conference or Workshop Item]

Abele, Eberhard and Weber, Thomas and Flum, Dominik and Panten, Niklas and Sossenheimer, Johannes and Fuertjes, Tobias (2018):
A Kalman-Filter-Based Disaggregation Approach for Sensor Reduced Energy Monitoring on Component Level of Machine Tools.
In: Proceedings, 14th International Conference on High Speed Machining, San Sebastian (Spain), [Article]

2017

Panten, Niklas and Abele, Eberhard (2017):
Prädiktive Energieflussregelung von Versorgungssystemen.
34, In: Industrie Management, GITO Verlag, Berlin, (1), pp. 19-23, ISSN 1434-1980, [Article]

2016

Abele, Eberhard and Bauerdick, Christoph and Strobel, Nina and Panten, Niklas (2016):
ETA Learning Factory: A Holistic Concept for Teaching Energy Efficiency in Production.
54, In: Procedia CIRP, 6th CIRP Conference on Learning Factories, Gjøvik (Norway) Elsevier B.V., pp. 83-88, ISSN 2212-8271, [Online-Edition: http://dx.doi.org/10.1016/j.procir.2016.06.051],
[Article]

Panten, Niklas and Hoffmann, Nils and Fuchs, Friedrich Wilhelm (2016):
Finite Control Set Model Predictive Current Control for Grid-Connected Voltage-Source Converters With LCL Filters: A Study Based on Different State Feedbacks.
31, In: IEEE Transactions on Power Electronics, July 2016, (7), pp. 5189-5200, [Article]

Panten, Niklas and Abele, Eberhard and Schweig, Stefano (2016):
A Power Disaggregation Approach for fine-grained Machine Energy Monitoring by System Identification.
48, In: Procedia CIRP, 23rd CIRP Conference on Life Cycle Engineering, Elsevier B.V., pp. 325-330, ISSN 2212-8271, [Online-Edition: http://dx.doi.org/10.1016/j.procir.2016.03.025],
[Article]

2015

Abele, Eberhard and Panten, Niklas and Menz, Benjamin (2015):
Data Collection for Energy Monitoring Purposes and Energy Control of Production Machines.
29, In: Procedia CIRP, 22nd CIRP Conference on Life Cycle Engineering, Sydney (Australien), Elsevier B.V., pp. 299-304, ISSN 2212-8271, [Online-Edition: https://doi.org/10.1016/j.procir.2015.01.035],
[Article]

This list was generated on Wed Dec 11 03:27:23 2019 CET.