PUBLIKATIONSSERVER

Lars Quakernack

12 Publikationen

Alle markieren

[12]
2024 | Konferenzbeitrag | FH-PUB-ID: 5761
Grid-Oriented Control of Vehicle Batteries in a Cellular Grid Setup Based on Fuzzy Logic
L. Quakernack, M. Gurcke, K. Schulte, J. Haubrock, in: IEEE (Ed.), 2024 IEEE PES Innovative Smart Grid Technologies Europe (ISGT EUROPE), IEEE, 2024, pp. 1–5.
HSBI-PUB | DOI
 
[11]
2024 | Konferenzbeitrag | FH-PUB-ID: 5720
LSTM Autoencoder Model to Identify Electric Vehicles in Grouped Smart Meter Data
L. Quakernack, T. Engelmann, J. Haubrock, V. Vaquet, in: 2024 IEEE PES Innovative Smart Grid Technologies Europe (ISGT EUROPE), IEEE, 2024, pp. 1–5.
HSBI-PUB | DOI
 
[10]
2024 | Konferenzbeitrag | FH-PUB-ID: 5557
A comparison of machine learning algorithms for the optimization of a day-ahead photovoltaic power forecast
K. Schulte, L. Engel, L. Quakernack, F. Liegmann, J. Haubrock, in: N. Holjevac, T. Baškarad, M. Zidar, I. Kuzle (Eds.), IEEE PES ISGT  Europe 2024 Conference Book, 2024.
HSBI-PUB
 
[9]
2023 | Konferenzbeitrag | FH-PUB-ID: 5723
Q-learning based control algorithm with dynamic combination of peak shaving and self-consumption optimization for industrial battery storage systems
T. Engelmann, L. Quakernack, J. Haubrock, in: IEEE (Ed.), 2023.
HSBI-PUB
 
[8]
2023 | Konferenzbeitrag | FH-PUB-ID: 4357
Optimized photovoltaic power forecast using k-means clustering based error reduction
K. Schulte, L. Engel, L. Quakernack, J. Haubrock, in: 2023 IEEE PES Innovative Smart Grid Technologies Europe (ISGT EUROPE), IEEE, 2023, pp. 1–5.
HSBI-PUB | DOI
 
[7]
2023 | Konferenzbeitrag | FH-PUB-ID: 3105
AI-based heat demand forecasting in industrial buildings for flexible operation of combined heat and power plants
L. Quakernack, J. Hövelmann, K. Kröger, J. Haubrock, in: 2023.
HSBI-PUB
 
[6]
2023 | Konferenzbeitrag | FH-PUB-ID: 3096
Evaluation of the Usage of Edge Computing and LoRa for the Control of Electric Vehicle Charging in the Low Voltage Grid
B. Steinhagen, T. Jungh, M. Hesse, U. Rückert, L. Quakernack, M. Kelker, J. Haubrock, in: 2023 IEEE PES Conference on Innovative Smart Grid Technologies - Middle East (ISGT Middle East), IEEE, 2023, pp. 1–5.
HSBI-PUB | DOI
 
[5]
2022 | Konferenzbeitrag | FH-PUB-ID: 3113
Deep Reinforcement Learning For Autonomous Control Of Low Voltage Grids With Focus On Grid Stability In Future Power Grids
L. Quakernack, M. Kelker, J. Haubrock, in: 2022 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe), IEEE, 2022, pp. 1–5.
HSBI-PUB | DOI
 
[4]
2022 | Konferenzbeitrag | FH-PUB-ID: 3112
Multi agent double deep Q-network with multiple reward functions for electric vehicle charge control
M. Kelker, L. Quakernack, J. Haubrock, D. Westermann, in: 2022 IEEE Power & Energy Society General Meeting (PESGM), IEEE, 2022, pp. 01–05.
HSBI-PUB | DOI
 
[3]
2022 | Konferenzbeitrag | FH-PUB-ID: 3097 | OA
Deep Reinforcement Learning als Methode zur autonomen Steuerung von Niederspannungsnetzen mit Fokus auf die Netzstabilität
L. Quakernack, M. Kelker, U. Rückert, J. Haubrock, in: 2022.
HSBI-PUB | Download (ext.)
 
[2]
2021 | Konferenzbeitrag | FH-PUB-ID: 3356
Multi agent deep Q-reinforcement learning for autonomous low voltage grid control
M. Kelker, L. Quakernack, J. Haubrock, in: 2021 IEEE PES Innovative Smart Grid Technologies Europe (ISGT Europe), IEEE, 2021, pp. 1–6.
HSBI-PUB | DOI
 
[1]
2018 | Konferenzbeitrag | FH-PUB-ID: 3360
Simulation of a Smart-Micro-Grid to Analyse an Intelligent Charge Management in Matlab Simulink for a Local Bakery Chain
L. Quakernack, M. Kelker, J. Haubrock, in: 2018.
HSBI-PUB
 
Markierte Publikation(en)

Suche

Publikationen filtern

Darstellung / Sortierung

Export / Einbettung

12 Publikationen

Alle markieren

[12]
2024 | Konferenzbeitrag | FH-PUB-ID: 5761
Grid-Oriented Control of Vehicle Batteries in a Cellular Grid Setup Based on Fuzzy Logic
L. Quakernack, M. Gurcke, K. Schulte, J. Haubrock, in: IEEE (Ed.), 2024 IEEE PES Innovative Smart Grid Technologies Europe (ISGT EUROPE), IEEE, 2024, pp. 1–5.
HSBI-PUB | DOI
 
[11]
2024 | Konferenzbeitrag | FH-PUB-ID: 5720
LSTM Autoencoder Model to Identify Electric Vehicles in Grouped Smart Meter Data
L. Quakernack, T. Engelmann, J. Haubrock, V. Vaquet, in: 2024 IEEE PES Innovative Smart Grid Technologies Europe (ISGT EUROPE), IEEE, 2024, pp. 1–5.
HSBI-PUB | DOI
 
[10]
2024 | Konferenzbeitrag | FH-PUB-ID: 5557
A comparison of machine learning algorithms for the optimization of a day-ahead photovoltaic power forecast
K. Schulte, L. Engel, L. Quakernack, F. Liegmann, J. Haubrock, in: N. Holjevac, T. Baškarad, M. Zidar, I. Kuzle (Eds.), IEEE PES ISGT  Europe 2024 Conference Book, 2024.
HSBI-PUB
 
[9]
2023 | Konferenzbeitrag | FH-PUB-ID: 5723
Q-learning based control algorithm with dynamic combination of peak shaving and self-consumption optimization for industrial battery storage systems
T. Engelmann, L. Quakernack, J. Haubrock, in: IEEE (Ed.), 2023.
HSBI-PUB
 
[8]
2023 | Konferenzbeitrag | FH-PUB-ID: 4357
Optimized photovoltaic power forecast using k-means clustering based error reduction
K. Schulte, L. Engel, L. Quakernack, J. Haubrock, in: 2023 IEEE PES Innovative Smart Grid Technologies Europe (ISGT EUROPE), IEEE, 2023, pp. 1–5.
HSBI-PUB | DOI
 
[7]
2023 | Konferenzbeitrag | FH-PUB-ID: 3105
AI-based heat demand forecasting in industrial buildings for flexible operation of combined heat and power plants
L. Quakernack, J. Hövelmann, K. Kröger, J. Haubrock, in: 2023.
HSBI-PUB
 
[6]
2023 | Konferenzbeitrag | FH-PUB-ID: 3096
Evaluation of the Usage of Edge Computing and LoRa for the Control of Electric Vehicle Charging in the Low Voltage Grid
B. Steinhagen, T. Jungh, M. Hesse, U. Rückert, L. Quakernack, M. Kelker, J. Haubrock, in: 2023 IEEE PES Conference on Innovative Smart Grid Technologies - Middle East (ISGT Middle East), IEEE, 2023, pp. 1–5.
HSBI-PUB | DOI
 
[5]
2022 | Konferenzbeitrag | FH-PUB-ID: 3113
Deep Reinforcement Learning For Autonomous Control Of Low Voltage Grids With Focus On Grid Stability In Future Power Grids
L. Quakernack, M. Kelker, J. Haubrock, in: 2022 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe), IEEE, 2022, pp. 1–5.
HSBI-PUB | DOI
 
[4]
2022 | Konferenzbeitrag | FH-PUB-ID: 3112
Multi agent double deep Q-network with multiple reward functions for electric vehicle charge control
M. Kelker, L. Quakernack, J. Haubrock, D. Westermann, in: 2022 IEEE Power & Energy Society General Meeting (PESGM), IEEE, 2022, pp. 01–05.
HSBI-PUB | DOI
 
[3]
2022 | Konferenzbeitrag | FH-PUB-ID: 3097 | OA
Deep Reinforcement Learning als Methode zur autonomen Steuerung von Niederspannungsnetzen mit Fokus auf die Netzstabilität
L. Quakernack, M. Kelker, U. Rückert, J. Haubrock, in: 2022.
HSBI-PUB | Download (ext.)
 
[2]
2021 | Konferenzbeitrag | FH-PUB-ID: 3356
Multi agent deep Q-reinforcement learning for autonomous low voltage grid control
M. Kelker, L. Quakernack, J. Haubrock, in: 2021 IEEE PES Innovative Smart Grid Technologies Europe (ISGT Europe), IEEE, 2021, pp. 1–6.
HSBI-PUB | DOI
 
[1]
2018 | Konferenzbeitrag | FH-PUB-ID: 3360
Simulation of a Smart-Micro-Grid to Analyse an Intelligent Charge Management in Matlab Simulink for a Local Bakery Chain
L. Quakernack, M. Kelker, J. Haubrock, in: 2018.
HSBI-PUB
 
Markierte Publikation(en)

Suche

Publikationen filtern

Darstellung / Sortierung

Export / Einbettung