Niklas Panten

发表

A metaheuristic for energy adaptive production scheduling with multiple energy carriers and its implementation in a real production system

Benedikt Grosch, Timm Weitzel, Niklas Panten, 2019, Procedia CIRP.

A Kalman-Filter-Based Disaggregation Approach for Sensor Reduced Energy Monitoring on Component Level of Machine Tools

Niklas Panten, Eberhard Abele, Thomas Weber, 2018 .

A Power Disaggregation Approach for Fine-grained Machine Energy Monitoring by System Identification

Niklas Panten, Eberhard Abele, Stefano Schweig, 2016 .

Data Collection for Energy Monitoring Purposes and Energy Control of Production Machines

Niklas Panten, Eberhard Abele, Benjamin Menz, 2015 .

Comparative study of algorithms for optimized control of industrial energy supply systems

Niklas Panten, Matthias Weigold, Thomas Kohne, 2020, Energy Informatics.

Method for Transforming Energy and Production Systems Into Mobile Demonstrators

Niklas Panten, Eberhard Abele, Astrid Weyand, 2020 .

Deep Reinforcement Learning zur Betriebsoptimierung hybrider industrieller Energienetze

Niklas Panten, 2019 .

Finite Control Set Model Predictive Current Control for Grid-Connected Voltage-Source Converters With LCL Filters: A Study Based on Different State Feedbacks

Niklas Panten, Nils Hoffmann, Friedrich Wilhelm Fuchs, 2016, IEEE Transactions on Power Electronics.

Optimal operation of combined heat and power systems: An optimization-based control strategy

Niklas Panten, Eberhard Abele, Carlos Ocampo-Martinez, 2019, Energy Conversion and Management.

Ascertainment of Energy Consumption Information in the Age of Industrial Big Data

Christoph Herrmann, Niklas Panten, Sebastian Thiede, 2018 .

ETA Learning Factory: A Holistic Concept for Teaching Energy Efficiency in Production☆

Niklas Panten, Eberhard Abele, Christoph J.H. Bauerdick, 2016 .

Very short-term load forecasting on factory level – A machine learning approach

Niklas Panten, Eberhard Abele, Jessica Walther, 2019, Procedia CIRP.

Non-intrusive Load Monitoring on Component Level of a Machine Tool Using a Kalman Filter-Based Disaggregation Approach

Niklas Panten, Eberhard Abele, Thomas Weber, 2019 .

Economic Model Predictive Control for Optimal Operation of Combined Heat and Power Systems

Niklas Panten, Eberhard Abele, Carlos Ocampo-Martinez, 2019 .

Framework for an Energy Efficient and Flexible Automation Strategy and Control Optimization Approach of Supply Systems within a Thermally-Linked Factory

Niklas Panten, Eberhard Abele, Johannes Sossenheimer, 2018 .

Method for the application of deep reinforcement learning for optimised control of industrial energy supply systems by the example of a central cooling system

Niklas Panten, Matthias Weigold, Eberhard Abele, 2021, CIRP Annals.