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8 Publikationen

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[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 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 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 HSBI-PUB
 

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8 Publikationen

Alle markieren

[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 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 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 HSBI-PUB
 

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