PUBLIKATIONSSERVER

Michael Kelker

21 Publikationen

Alle markieren

[21]
2024 | Konferenzbeitrag | FH-PUB-ID: 5719
F. Liegmann et al., “Concept of a test bench for research into automatic resupply to improve the resilience of critical infrastructure,” in 2024 IEEE PES Innovative Smart Grid Technologies Europe (ISGT EUROPE), Dubrovnik, Croatia, 2024, pp. 1–5.
HSBI-PUB | DOI
 
[20]
2023 | Dissertation | FH-PUB-ID: 3363 | OA
M. Kelker, Optimierte Ladung von Elektrofahrzeugen als Markow Entscheidungsprozess mittels maschineller Lernalgorithmen. Universitätsverlag Ilmenau, 2023.
HSBI-PUB | DOI | Download (ext.)
 
[19]
2023 | Konferenzbeitrag | FH-PUB-ID: 3096
B. Steinhagen et al., “Evaluation of the Usage of Edge Computing and LoRa for the Control of Electric Vehicle Charging in the Low Voltage Grid,” in 2023 IEEE PES Conference on Innovative Smart Grid Technologies - Middle East (ISGT Middle East), Abu Dhabi, United Arab Emirates, 2023, pp. 1–5.
HSBI-PUB | DOI
 
[18]
2022 | Konferenzbeitrag | FH-PUB-ID: 3113
L. Quakernack, M. Kelker, and J. Haubrock, “Deep Reinforcement Learning For Autonomous Control Of Low Voltage Grids With Focus On Grid Stability In Future Power Grids,” in 2022 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe), Novi Sad, Serbia, 2022, pp. 1–5.
HSBI-PUB | DOI
 
[17]
2022 | Konferenzbeitrag | FH-PUB-ID: 3112
M. Kelker, L. Quakernack, J. Haubrock, and D. Westermann, “Multi agent double deep Q-network with multiple reward functions for electric vehicle charge control,” in 2022 IEEE Power & Energy Society General Meeting (PESGM), Denver, CO, USA, 2022, pp. 01–05.
HSBI-PUB | DOI
 
[16]
2022 | Konferenzbeitrag | FH-PUB-ID: 3111
F. Liegmann, L. Schorge, M. Kelker, and J. Haubrock, “Virtual reality grid control station for learning the operational management of real electrical grids on emergency situation,” in 2022 IEEE German Education Conference (GeCon), Berlin, Germany, 2022, pp. 1–6.
HSBI-PUB | DOI
 
[15]
2022 | Konferenzbeitrag | FH-PUB-ID: 3100 | OA
F. Liegmann, M. Gurcke, M. Kelker, and J. Haubrock, “Entwicklung einer Virtual Reality Netzleitwarte,” presented at the 17. Symposium Energieinnovation, Graz, 2022.
HSBI-PUB | Download (ext.)
 
[14]
2022 | Konferenzbeitrag | FH-PUB-ID: 3099 | OA
M. Gurcke, K. Timpe, M. Kelker, and J. Haubrock, “ Adaption und Validierung einer Low Cost µPMU zur Netzüberwachung im Niederspannungsnetz,” presented at the 17 . Symposium Energieinnovation, Graz, 2022.
HSBI-PUB | Download (ext.)
 
[13]
2022 | Konferenzbeitrag | FH-PUB-ID: 3097 | OA
L. Quakernack, M. Kelker, U. Rückert, and J. Haubrock, “Deep Reinforcement Learning als Methode zur autonomen Steuerung von Niederspannungsnetzen mit Fokus auf die Netzstabilität,” presented at the 17. Symposium Energieinnovation, Graz, 2022.
HSBI-PUB | Download (ext.)
 
[12]
2021 | Konferenzbeitrag | FH-PUB-ID: 3355
K. Schulte, O. Runde, M. Kelker, and J. Haubrock, “Prediction of the local cloud cover to optimize photovoltaic system power forecast,” in 2021 IEEE PES Innovative Smart Grid Technologies Europe (ISGT Europe), Espoo, Finland, 2021, pp. 01–05.
HSBI-PUB | DOI
 
[11]
2021 | Konferenzbeitrag | FH-PUB-ID: 3361
F. Liegmann, A. Murtovi, M. Kelker, and J. Haubrock, “Analysis of user behaviour for modelling an electric vehicle loading profile generator,” presented at the PESS 2021; Power and Energy Student Summit, 2021.
HSBI-PUB
 
[10]
2021 | Konferenzbeitrag | FH-PUB-ID: 3356
M. Kelker, L. Quakernack, and J. Haubrock, “Multi agent deep Q-reinforcement learning for autonomous low voltage grid control,” in 2021 IEEE PES Innovative Smart Grid Technologies Europe (ISGT Europe), Espoo, Finland, 2021, pp. 1–6.
HSBI-PUB | DOI
 
[9]
2020 | Konferenzbeitrag | FH-PUB-ID: 3359
K. Schulte, M. Kelker, and J. Haubrock, “Artificial neural networks to predict the node voltages in a low-voltage grid,” in NEIS 2020; Conference on Sustainable Energy Supply and Energy Storage Systems, Hamburg, 2020.
HSBI-PUB
 
[8]
2020 | Konferenzbeitrag | FH-PUB-ID: 3358
P. Lohmann, M. Kelker, K. Schulte, and J. Haubrock, “Auslegung eines Antriebstranges für einen Batterie-Elektrischen Zug,” in EnInnov 2020; 16. Symposium Energieinnovation, Graz, 2020.
HSBI-PUB
 
[7]
2020 | Konferenzbeitrag | FH-PUB-ID: 3354
M. Kelker, K. Schulte, and J. Haubrock, “State estimation in low-voltage grids by using artificial neural networks in consideration of optimal micro phasor measurement unit placement,” in NEIS 2020; Conference on Sustainable Energy Supply and Energy Storage Systems, Hamburg, 2020.
HSBI-PUB
 
[6]
2020 | Konferenzbeitrag | FH-PUB-ID: 3353 | OA
M. Kelker, A. Berrada, K. Schulte, and J. Haubrock, “Entwicklung und Validierung eines optimalen Platzierungsalgorithmus für µPMUS im Niederspannungsnetz,” in EnInnov 2020; 16. Symposium Energieinnovation, Graz, 2020.
HSBI-PUB | Download (ext.)
 
[5]
2019 | Konferenzbeitrag | FH-PUB-ID: 3357
K. Kröger, F. Annen, M. Kelker, and J. Haubrock, “Development of a Microgrid Hardware Simulation System for Distributed Energy Resources in Combination with an Aggregated Battery Electric Vehicle,” in NEIS 2019; Conference on Sustainable Energy Supply and Energy Storage Systems, 2019, Hamburg, 2019.
HSBI-PUB
 
[4]
2019 | Konferenzbeitrag | FH-PUB-ID: 3351
M. Kelker, K. Schulte, K. Kröger, and J. Haubrock, “Development and validation of a neural network for state estimation in the distribution grid based on μPMU data,” in 2019 Modern Electric Power Systems (MEPS), Wroclaw, Poland, 2019, pp. 1–6.
HSBI-PUB | DOI
 
[3]
2019 | Konferenzbeitrag | FH-PUB-ID: 3350
M. Kelker et al., “Development of a forecast model for the prediction of photovoltaic power using neural networks and validating the model based on real measurement data of a local photovoltaic system,” in 2019 IEEE Milan PowerTech, Milan, Italy, 2019, pp. 1–6.
HSBI-PUB | DOI
 
[2]
2018 | Konferenzbeitrag | FH-PUB-ID: 3360
L. Quakernack, M. Kelker, and J. Haubrock, “Simulation of a Smart-Micro-Grid to Analyse an Intelligent Charge Management in Matlab Simulink for a Local Bakery Chain,” presented at the 8. IEEE Germany Student Conference, Magdeburg, 2018.
HSBI-PUB
 
[1]
2018 | Konferenzbeitrag | FH-PUB-ID: 3349
M. Kelker and J. Haubrock, “Modeling and simulation of a phasor measurement unit to analyse the grid reliability of a 110 kV grid,” in 2018 7th International Energy and Sustainability Conference (IESC), Cologne, 2018, pp. 1–6.
HSBI-PUB | DOI
 
Markierte Publikation(en)

Suche

Publikationen filtern

Darstellung / Sortierung

Zitationsstil: IEEE

Export / Einbettung

21 Publikationen

Alle markieren

[21]
2024 | Konferenzbeitrag | FH-PUB-ID: 5719
F. Liegmann et al., “Concept of a test bench for research into automatic resupply to improve the resilience of critical infrastructure,” in 2024 IEEE PES Innovative Smart Grid Technologies Europe (ISGT EUROPE), Dubrovnik, Croatia, 2024, pp. 1–5.
HSBI-PUB | DOI
 
[20]
2023 | Dissertation | FH-PUB-ID: 3363 | OA
M. Kelker, Optimierte Ladung von Elektrofahrzeugen als Markow Entscheidungsprozess mittels maschineller Lernalgorithmen. Universitätsverlag Ilmenau, 2023.
HSBI-PUB | DOI | Download (ext.)
 
[19]
2023 | Konferenzbeitrag | FH-PUB-ID: 3096
B. Steinhagen et al., “Evaluation of the Usage of Edge Computing and LoRa for the Control of Electric Vehicle Charging in the Low Voltage Grid,” in 2023 IEEE PES Conference on Innovative Smart Grid Technologies - Middle East (ISGT Middle East), Abu Dhabi, United Arab Emirates, 2023, pp. 1–5.
HSBI-PUB | DOI
 
[18]
2022 | Konferenzbeitrag | FH-PUB-ID: 3113
L. Quakernack, M. Kelker, and J. Haubrock, “Deep Reinforcement Learning For Autonomous Control Of Low Voltage Grids With Focus On Grid Stability In Future Power Grids,” in 2022 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe), Novi Sad, Serbia, 2022, pp. 1–5.
HSBI-PUB | DOI
 
[17]
2022 | Konferenzbeitrag | FH-PUB-ID: 3112
M. Kelker, L. Quakernack, J. Haubrock, and D. Westermann, “Multi agent double deep Q-network with multiple reward functions for electric vehicle charge control,” in 2022 IEEE Power & Energy Society General Meeting (PESGM), Denver, CO, USA, 2022, pp. 01–05.
HSBI-PUB | DOI
 
[16]
2022 | Konferenzbeitrag | FH-PUB-ID: 3111
F. Liegmann, L. Schorge, M. Kelker, and J. Haubrock, “Virtual reality grid control station for learning the operational management of real electrical grids on emergency situation,” in 2022 IEEE German Education Conference (GeCon), Berlin, Germany, 2022, pp. 1–6.
HSBI-PUB | DOI
 
[15]
2022 | Konferenzbeitrag | FH-PUB-ID: 3100 | OA
F. Liegmann, M. Gurcke, M. Kelker, and J. Haubrock, “Entwicklung einer Virtual Reality Netzleitwarte,” presented at the 17. Symposium Energieinnovation, Graz, 2022.
HSBI-PUB | Download (ext.)
 
[14]
2022 | Konferenzbeitrag | FH-PUB-ID: 3099 | OA
M. Gurcke, K. Timpe, M. Kelker, and J. Haubrock, “ Adaption und Validierung einer Low Cost µPMU zur Netzüberwachung im Niederspannungsnetz,” presented at the 17 . Symposium Energieinnovation, Graz, 2022.
HSBI-PUB | Download (ext.)
 
[13]
2022 | Konferenzbeitrag | FH-PUB-ID: 3097 | OA
L. Quakernack, M. Kelker, U. Rückert, and J. Haubrock, “Deep Reinforcement Learning als Methode zur autonomen Steuerung von Niederspannungsnetzen mit Fokus auf die Netzstabilität,” presented at the 17. Symposium Energieinnovation, Graz, 2022.
HSBI-PUB | Download (ext.)
 
[12]
2021 | Konferenzbeitrag | FH-PUB-ID: 3355
K. Schulte, O. Runde, M. Kelker, and J. Haubrock, “Prediction of the local cloud cover to optimize photovoltaic system power forecast,” in 2021 IEEE PES Innovative Smart Grid Technologies Europe (ISGT Europe), Espoo, Finland, 2021, pp. 01–05.
HSBI-PUB | DOI
 
[11]
2021 | Konferenzbeitrag | FH-PUB-ID: 3361
F. Liegmann, A. Murtovi, M. Kelker, and J. Haubrock, “Analysis of user behaviour for modelling an electric vehicle loading profile generator,” presented at the PESS 2021; Power and Energy Student Summit, 2021.
HSBI-PUB
 
[10]
2021 | Konferenzbeitrag | FH-PUB-ID: 3356
M. Kelker, L. Quakernack, and J. Haubrock, “Multi agent deep Q-reinforcement learning for autonomous low voltage grid control,” in 2021 IEEE PES Innovative Smart Grid Technologies Europe (ISGT Europe), Espoo, Finland, 2021, pp. 1–6.
HSBI-PUB | DOI
 
[9]
2020 | Konferenzbeitrag | FH-PUB-ID: 3359
K. Schulte, M. Kelker, and J. Haubrock, “Artificial neural networks to predict the node voltages in a low-voltage grid,” in NEIS 2020; Conference on Sustainable Energy Supply and Energy Storage Systems, Hamburg, 2020.
HSBI-PUB
 
[8]
2020 | Konferenzbeitrag | FH-PUB-ID: 3358
P. Lohmann, M. Kelker, K. Schulte, and J. Haubrock, “Auslegung eines Antriebstranges für einen Batterie-Elektrischen Zug,” in EnInnov 2020; 16. Symposium Energieinnovation, Graz, 2020.
HSBI-PUB
 
[7]
2020 | Konferenzbeitrag | FH-PUB-ID: 3354
M. Kelker, K. Schulte, and J. Haubrock, “State estimation in low-voltage grids by using artificial neural networks in consideration of optimal micro phasor measurement unit placement,” in NEIS 2020; Conference on Sustainable Energy Supply and Energy Storage Systems, Hamburg, 2020.
HSBI-PUB
 
[6]
2020 | Konferenzbeitrag | FH-PUB-ID: 3353 | OA
M. Kelker, A. Berrada, K. Schulte, and J. Haubrock, “Entwicklung und Validierung eines optimalen Platzierungsalgorithmus für µPMUS im Niederspannungsnetz,” in EnInnov 2020; 16. Symposium Energieinnovation, Graz, 2020.
HSBI-PUB | Download (ext.)
 
[5]
2019 | Konferenzbeitrag | FH-PUB-ID: 3357
K. Kröger, F. Annen, M. Kelker, and J. Haubrock, “Development of a Microgrid Hardware Simulation System for Distributed Energy Resources in Combination with an Aggregated Battery Electric Vehicle,” in NEIS 2019; Conference on Sustainable Energy Supply and Energy Storage Systems, 2019, Hamburg, 2019.
HSBI-PUB
 
[4]
2019 | Konferenzbeitrag | FH-PUB-ID: 3351
M. Kelker, K. Schulte, K. Kröger, and J. Haubrock, “Development and validation of a neural network for state estimation in the distribution grid based on μPMU data,” in 2019 Modern Electric Power Systems (MEPS), Wroclaw, Poland, 2019, pp. 1–6.
HSBI-PUB | DOI
 
[3]
2019 | Konferenzbeitrag | FH-PUB-ID: 3350
M. Kelker et al., “Development of a forecast model for the prediction of photovoltaic power using neural networks and validating the model based on real measurement data of a local photovoltaic system,” in 2019 IEEE Milan PowerTech, Milan, Italy, 2019, pp. 1–6.
HSBI-PUB | DOI
 
[2]
2018 | Konferenzbeitrag | FH-PUB-ID: 3360
L. Quakernack, M. Kelker, and J. Haubrock, “Simulation of a Smart-Micro-Grid to Analyse an Intelligent Charge Management in Matlab Simulink for a Local Bakery Chain,” presented at the 8. IEEE Germany Student Conference, Magdeburg, 2018.
HSBI-PUB
 
[1]
2018 | Konferenzbeitrag | FH-PUB-ID: 3349
M. Kelker and J. Haubrock, “Modeling and simulation of a phasor measurement unit to analyse the grid reliability of a 110 kV grid,” in 2018 7th International Energy and Sustainability Conference (IESC), Cologne, 2018, pp. 1–6.
HSBI-PUB | DOI
 
Markierte Publikation(en)

Suche

Publikationen filtern

Darstellung / Sortierung

Zitationsstil: IEEE

Export / Einbettung