---
_id: '30032'
author:
- first_name: Marius
full_name: Stender, Marius
id: '41240'
last_name: Stender
- first_name: Oliver
full_name: Wallscheid, Oliver
id: '11291'
last_name: Wallscheid
orcid: https://orcid.org/0000-0001-9362-8777
- first_name: Joachim
full_name: Böcker, Joachim
id: '66'
last_name: Böcker
orcid: 0000-0002-8480-7295
citation:
ama: 'Stender M, Wallscheid O, Böcker J. Gray-Box Loss Model for Induction Motor
Drives. In: 2021 IEEE 19th International Power Electronics and Motion Control
Conference (PEMC). IEEE; 2021. doi:10.1109/pemc48073.2021.9432491'
apa: Stender, M., Wallscheid, O., & Böcker, J. (2021). Gray-Box Loss Model for
Induction Motor Drives. 2021 IEEE 19th International Power Electronics and
Motion Control Conference (PEMC). https://doi.org/10.1109/pemc48073.2021.9432491
bibtex: '@inproceedings{Stender_Wallscheid_Böcker_2021, title={Gray-Box Loss Model
for Induction Motor Drives}, DOI={10.1109/pemc48073.2021.9432491},
booktitle={2021 IEEE 19th International Power Electronics and Motion Control Conference
(PEMC)}, publisher={IEEE}, author={Stender, Marius and Wallscheid, Oliver and
Böcker, Joachim}, year={2021} }'
chicago: Stender, Marius, Oliver Wallscheid, and Joachim Böcker. “Gray-Box Loss
Model for Induction Motor Drives.” In 2021 IEEE 19th International Power Electronics
and Motion Control Conference (PEMC). IEEE, 2021. https://doi.org/10.1109/pemc48073.2021.9432491.
ieee: 'M. Stender, O. Wallscheid, and J. Böcker, “Gray-Box Loss Model for Induction
Motor Drives,” 2021, doi: 10.1109/pemc48073.2021.9432491.'
mla: Stender, Marius, et al. “Gray-Box Loss Model for Induction Motor Drives.” 2021
IEEE 19th International Power Electronics and Motion Control Conference (PEMC),
IEEE, 2021, doi:10.1109/pemc48073.2021.9432491.
short: 'M. Stender, O. Wallscheid, J. Böcker, in: 2021 IEEE 19th International Power
Electronics and Motion Control Conference (PEMC), IEEE, 2021.'
date_created: 2022-02-24T09:25:23Z
date_updated: 2022-02-24T09:25:49Z
department:
- _id: '52'
doi: 10.1109/pemc48073.2021.9432491
language:
- iso: eng
publication: 2021 IEEE 19th International Power Electronics and Motion Control Conference
(PEMC)
publication_status: published
publisher: IEEE
status: public
title: Gray-Box Loss Model for Induction Motor Drives
type: conference
user_id: '41240'
year: '2021'
...
---
_id: '29665'
author:
- first_name: Sören
full_name: Hanke, Sören
id: '25027'
last_name: Hanke
orcid: 0000-0001-8216-1278
- first_name: Oliver
full_name: Wallscheid, Oliver
id: '11291'
last_name: Wallscheid
orcid: https://orcid.org/0000-0001-9362-8777
- first_name: Joachim
full_name: Böcker, Joachim
id: '66'
last_name: Böcker
orcid: 0000-0002-8480-7295
citation:
ama: 'Hanke S, Wallscheid O, Böcker J. Comparison of Artificial Neural Network and
Least Squares Prediction Models for Finite-Control-Set Model Predictive Control
of a Permanent Magnet Synchronous Motor. In: IET Digital Library; 2021. doi:10.1049%2Ficp.2021.1122'
apa: Hanke, S., Wallscheid, O., & Böcker, J. (2021). Comparison of Artificial
Neural Network and Least Squares Prediction Models for Finite-Control-Set Model
Predictive Control of a Permanent Magnet Synchronous Motor. https://doi.org/10.1049%2Ficp.2021.1122
bibtex: '@inproceedings{Hanke_Wallscheid_Böcker_2021, title={Comparison of Artificial
Neural Network and Least Squares Prediction Models for Finite-Control-Set Model
Predictive Control of a Permanent Magnet Synchronous Motor}, DOI={10.1049%2Ficp.2021.1122},
publisher={IET Digital Library}, author={Hanke, Sören and Wallscheid, Oliver and
Böcker, Joachim}, year={2021} }'
chicago: Hanke, Sören, Oliver Wallscheid, and Joachim Böcker. “Comparison of Artificial
Neural Network and Least Squares Prediction Models for Finite-Control-Set Model
Predictive Control of a Permanent Magnet Synchronous Motor.” IET Digital Library,
2021. https://doi.org/10.1049%2Ficp.2021.1122.
ieee: 'S. Hanke, O. Wallscheid, and J. Böcker, “Comparison of Artificial Neural
Network and Least Squares Prediction Models for Finite-Control-Set Model Predictive
Control of a Permanent Magnet Synchronous Motor,” 2021, doi: 10.1049%2Ficp.2021.1122.'
mla: Hanke, Sören, et al. Comparison of Artificial Neural Network and Least Squares
Prediction Models for Finite-Control-Set Model Predictive Control of a Permanent
Magnet Synchronous Motor. IET Digital Library, 2021, doi:10.1049%2Ficp.2021.1122.
short: 'S. Hanke, O. Wallscheid, J. Böcker, in: IET Digital Library, 2021.'
date_created: 2022-01-28T14:11:09Z
date_updated: 2022-02-24T17:08:20Z
department:
- _id: '52'
doi: 10.1049%2Ficp.2021.1122
language:
- iso: eng
publication_status: published
publisher: IET Digital Library
status: public
title: Comparison of Artificial Neural Network and Least Squares Prediction Models
for Finite-Control-Set Model Predictive Control of a Permanent Magnet Synchronous
Motor
type: conference
user_id: '66'
year: '2021'
...
---
_id: '29664'
author:
- first_name: Oliver
full_name: Wallscheid, Oliver
id: '11291'
last_name: Wallscheid
orcid: https://orcid.org/0000-0001-9362-8777
citation:
ama: 'Wallscheid O. Thermal Monitoring of Electric Motors: State-of-the-Art Review
and Future Challenges. IEEE Open Journal of Industry Applications. Published
online 2021.'
apa: 'Wallscheid, O. (2021). Thermal Monitoring of Electric Motors: State-of-the-Art
Review and Future Challenges. IEEE Open Journal of Industry Applications.'
bibtex: '@article{Wallscheid_2021, title={Thermal Monitoring of Electric Motors:
State-of-the-Art Review and Future Challenges}, journal={IEEE Open Journal of
Industry Applications}, publisher={IEEE}, author={Wallscheid, Oliver}, year={2021}
}'
chicago: 'Wallscheid, Oliver. “Thermal Monitoring of Electric Motors: State-of-the-Art
Review and Future Challenges.” IEEE Open Journal of Industry Applications,
2021.'
ieee: 'O. Wallscheid, “Thermal Monitoring of Electric Motors: State-of-the-Art Review
and Future Challenges,” IEEE Open Journal of Industry Applications, 2021.'
mla: 'Wallscheid, Oliver. “Thermal Monitoring of Electric Motors: State-of-the-Art
Review and Future Challenges.” IEEE Open Journal of Industry Applications,
IEEE, 2021.'
short: O. Wallscheid, IEEE Open Journal of Industry Applications (2021).
date_created: 2022-01-28T14:11:08Z
date_updated: 2022-02-25T20:30:50Z
department:
- _id: '52'
- _id: '57'
language:
- iso: eng
publication: IEEE Open Journal of Industry Applications
publisher: IEEE
status: public
title: 'Thermal Monitoring of Electric Motors: State-of-the-Art Review and Future
Challenges'
type: journal_article
user_id: '11291'
year: '2021'
...
---
_id: '21251'
author:
- first_name: Wilhelm
full_name: Kirchgässner, Wilhelm
id: '49265'
last_name: Kirchgässner
orcid: 0000-0001-9490-1843
- first_name: Oliver
full_name: Wallscheid, Oliver
id: '11291'
last_name: Wallscheid
orcid: https://orcid.org/0000-0001-9362-8777
- first_name: Joachim
full_name: Böcker, Joachim
id: '66'
last_name: Böcker
orcid: 0000-0002-8480-7295
citation:
ama: 'Kirchgässner W, Wallscheid O, Böcker J. Data-Driven Permanent Magnet Temperature
Estimation in Synchronous Motors with Supervised Machine Learning: A Benchmark.
IEEE Transactions on Energy Conversion. 2021;36(3):2059-2067. doi:10.1109/tec.2021.3052546'
apa: 'Kirchgässner, W., Wallscheid, O., & Böcker, J. (2021). Data-Driven Permanent
Magnet Temperature Estimation in Synchronous Motors with Supervised Machine Learning:
A Benchmark. IEEE Transactions on Energy Conversion, 36(3), 2059–2067.
https://doi.org/10.1109/tec.2021.3052546'
bibtex: '@article{Kirchgässner_Wallscheid_Böcker_2021, title={Data-Driven Permanent
Magnet Temperature Estimation in Synchronous Motors with Supervised Machine Learning:
A Benchmark}, volume={36}, DOI={10.1109/tec.2021.3052546},
number={3}, journal={IEEE Transactions on Energy Conversion}, author={Kirchgässner,
Wilhelm and Wallscheid, Oliver and Böcker, Joachim}, year={2021}, pages={2059–2067}
}'
chicago: 'Kirchgässner, Wilhelm, Oliver Wallscheid, and Joachim Böcker. “Data-Driven
Permanent Magnet Temperature Estimation in Synchronous Motors with Supervised
Machine Learning: A Benchmark.” IEEE Transactions on Energy Conversion
36, no. 3 (2021): 2059–67. https://doi.org/10.1109/tec.2021.3052546.'
ieee: 'W. Kirchgässner, O. Wallscheid, and J. Böcker, “Data-Driven Permanent Magnet
Temperature Estimation in Synchronous Motors with Supervised Machine Learning:
A Benchmark,” IEEE Transactions on Energy Conversion, vol. 36, no. 3, pp.
2059–2067, 2021, doi: 10.1109/tec.2021.3052546.'
mla: 'Kirchgässner, Wilhelm, et al. “Data-Driven Permanent Magnet Temperature Estimation
in Synchronous Motors with Supervised Machine Learning: A Benchmark.” IEEE
Transactions on Energy Conversion, vol. 36, no. 3, 2021, pp. 2059–67, doi:10.1109/tec.2021.3052546.'
short: W. Kirchgässner, O. Wallscheid, J. Böcker, IEEE Transactions on Energy Conversion
36 (2021) 2059–2067.
date_created: 2021-02-16T21:22:46Z
date_updated: 2022-02-25T20:31:46Z
department:
- _id: '52'
doi: 10.1109/tec.2021.3052546
intvolume: ' 36'
issue: '3'
language:
- iso: eng
page: 2059 - 2067
publication: IEEE Transactions on Energy Conversion
publication_identifier:
issn:
- 0885-8969
- 1558-0059
publication_status: published
status: public
title: 'Data-Driven Permanent Magnet Temperature Estimation in Synchronous Motors
with Supervised Machine Learning: A Benchmark'
type: journal_article
user_id: '11291'
volume: 36
year: '2021'
...
---
_id: '21254'
article_number: '2498'
author:
- first_name: Praneeth
full_name: Balakrishna, Praneeth
last_name: Balakrishna
- first_name: Gerrit
full_name: Book, Gerrit
last_name: Book
- first_name: Wilhelm
full_name: Kirchgässner, Wilhelm
id: '49265'
last_name: Kirchgässner
orcid: 0000-0001-9490-1843
- first_name: Maximilian
full_name: Schenke, Maximilian
id: '52638'
last_name: Schenke
orcid: 0000-0001-5427-9527
- first_name: Arne
full_name: Traue, Arne
last_name: Traue
- first_name: Oliver
full_name: Wallscheid, Oliver
id: '11291'
last_name: Wallscheid
orcid: https://orcid.org/0000-0001-9362-8777
citation:
ama: 'Balakrishna P, Book G, Kirchgässner W, Schenke M, Traue A, Wallscheid O. gym-electric-motor
(GEM): A Python toolbox for the simulation of electric drive systems. Journal
of Open Source Software. Published online 2021. doi:10.21105/joss.02498'
apa: 'Balakrishna, P., Book, G., Kirchgässner, W., Schenke, M., Traue, A., &
Wallscheid, O. (2021). gym-electric-motor (GEM): A Python toolbox for the simulation
of electric drive systems. Journal of Open Source Software, Article 2498.
https://doi.org/10.21105/joss.02498'
bibtex: '@article{Balakrishna_Book_Kirchgässner_Schenke_Traue_Wallscheid_2021, title={gym-electric-motor
(GEM): A Python toolbox for the simulation of electric drive systems}, DOI={10.21105/joss.02498}, number={2498},
journal={Journal of Open Source Software}, author={Balakrishna, Praneeth and Book,
Gerrit and Kirchgässner, Wilhelm and Schenke, Maximilian and Traue, Arne and Wallscheid,
Oliver}, year={2021} }'
chicago: 'Balakrishna, Praneeth, Gerrit Book, Wilhelm Kirchgässner, Maximilian Schenke,
Arne Traue, and Oliver Wallscheid. “Gym-Electric-Motor (GEM): A Python Toolbox
for the Simulation of Electric Drive Systems.” Journal of Open Source Software,
2021. https://doi.org/10.21105/joss.02498.'
ieee: 'P. Balakrishna, G. Book, W. Kirchgässner, M. Schenke, A. Traue, and O. Wallscheid,
“gym-electric-motor (GEM): A Python toolbox for the simulation of electric drive
systems,” Journal of Open Source Software, Art. no. 2498, 2021, doi: 10.21105/joss.02498.'
mla: 'Balakrishna, Praneeth, et al. “Gym-Electric-Motor (GEM): A Python Toolbox
for the Simulation of Electric Drive Systems.” Journal of Open Source Software,
2498, 2021, doi:10.21105/joss.02498.'
short: P. Balakrishna, G. Book, W. Kirchgässner, M. Schenke, A. Traue, O. Wallscheid,
Journal of Open Source Software (2021).
date_created: 2021-02-16T21:40:12Z
date_updated: 2022-02-25T20:31:36Z
department:
- _id: '52'
doi: 10.21105/joss.02498
language:
- iso: eng
publication: Journal of Open Source Software
publication_identifier:
issn:
- 2475-9066
publication_status: published
status: public
title: 'gym-electric-motor (GEM): A Python toolbox for the simulation of electric
drive systems'
type: journal_article
user_id: '11291'
year: '2021'
...
---
_id: '25031'
author:
- first_name: Maximilian
full_name: Schenke, Maximilian
id: '52638'
last_name: Schenke
orcid: 0000-0001-5427-9527
- first_name: Oliver
full_name: Wallscheid, Oliver
id: '11291'
last_name: Wallscheid
orcid: https://orcid.org/0000-0001-9362-8777
citation:
ama: Schenke M, Wallscheid O. A Deep Q-Learning Direct Torque Controller for Permanent
Magnet Synchronous Motors. IEEE Open Journal of the Industrial Electronics
Society. Published online 2021:388-400. doi:10.1109/ojies.2021.3075521
apa: Schenke, M., & Wallscheid, O. (2021). A Deep Q-Learning Direct Torque Controller
for Permanent Magnet Synchronous Motors. IEEE Open Journal of the Industrial
Electronics Society, 388–400. https://doi.org/10.1109/ojies.2021.3075521
bibtex: '@article{Schenke_Wallscheid_2021, title={A Deep Q-Learning Direct Torque
Controller for Permanent Magnet Synchronous Motors}, DOI={10.1109/ojies.2021.3075521},
journal={IEEE Open Journal of the Industrial Electronics Society}, author={Schenke,
Maximilian and Wallscheid, Oliver}, year={2021}, pages={388–400} }'
chicago: Schenke, Maximilian, and Oliver Wallscheid. “A Deep Q-Learning Direct Torque
Controller for Permanent Magnet Synchronous Motors.” IEEE Open Journal of the
Industrial Electronics Society, 2021, 388–400. https://doi.org/10.1109/ojies.2021.3075521.
ieee: 'M. Schenke and O. Wallscheid, “A Deep Q-Learning Direct Torque Controller
for Permanent Magnet Synchronous Motors,” IEEE Open Journal of the Industrial
Electronics Society, pp. 388–400, 2021, doi: 10.1109/ojies.2021.3075521.'
mla: Schenke, Maximilian, and Oliver Wallscheid. “A Deep Q-Learning Direct Torque
Controller for Permanent Magnet Synchronous Motors.” IEEE Open Journal of the
Industrial Electronics Society, 2021, pp. 388–400, doi:10.1109/ojies.2021.3075521.
short: M. Schenke, O. Wallscheid, IEEE Open Journal of the Industrial Electronics
Society (2021) 388–400.
date_created: 2021-09-24T10:31:35Z
date_updated: 2022-02-25T20:31:27Z
department:
- _id: '52'
doi: 10.1109/ojies.2021.3075521
language:
- iso: eng
page: 388-400
publication: IEEE Open Journal of the Industrial Electronics Society
publication_identifier:
issn:
- 2644-1284
publication_status: published
status: public
title: A Deep Q-Learning Direct Torque Controller for Permanent Magnet Synchronous
Motors
type: journal_article
user_id: '11291'
year: '2021'
...
---
_id: '29662'
author:
- first_name: Maximilian
full_name: Schenke, Maximilian
id: '52638'
last_name: Schenke
orcid: 0000-0001-5427-9527
- first_name: Oliver
full_name: Wallscheid, Oliver
id: '11291'
last_name: Wallscheid
orcid: https://orcid.org/0000-0001-9362-8777
citation:
ama: Schenke M, Wallscheid O. Improved Exploring Starts by Kernel Density Estimation-Based
State-Space Coverage Acceleration in Reinforcement Learning. arXiv preprint
arXiv:210508990. Published online 2021.
apa: Schenke, M., & Wallscheid, O. (2021). Improved Exploring Starts by Kernel
Density Estimation-Based State-Space Coverage Acceleration in Reinforcement Learning.
ArXiv Preprint ArXiv:2105.08990.
bibtex: '@article{Schenke_Wallscheid_2021, title={Improved Exploring Starts by Kernel
Density Estimation-Based State-Space Coverage Acceleration in Reinforcement Learning},
journal={arXiv preprint arXiv:2105.08990}, author={Schenke, Maximilian and Wallscheid,
Oliver}, year={2021} }'
chicago: Schenke, Maximilian, and Oliver Wallscheid. “Improved Exploring Starts
by Kernel Density Estimation-Based State-Space Coverage Acceleration in Reinforcement
Learning.” ArXiv Preprint ArXiv:2105.08990, 2021.
ieee: M. Schenke and O. Wallscheid, “Improved Exploring Starts by Kernel Density
Estimation-Based State-Space Coverage Acceleration in Reinforcement Learning,”
arXiv preprint arXiv:2105.08990, 2021.
mla: Schenke, Maximilian, and Oliver Wallscheid. “Improved Exploring Starts by Kernel
Density Estimation-Based State-Space Coverage Acceleration in Reinforcement Learning.”
ArXiv Preprint ArXiv:2105.08990, 2021.
short: M. Schenke, O. Wallscheid, ArXiv Preprint ArXiv:2105.08990 (2021).
date_created: 2022-01-28T14:11:08Z
date_updated: 2022-02-25T20:31:17Z
department:
- _id: '52'
- _id: '57'
language:
- iso: eng
publication: arXiv preprint arXiv:2105.08990
status: public
title: Improved Exploring Starts by Kernel Density Estimation-Based State-Space Coverage
Acceleration in Reinforcement Learning
type: journal_article
user_id: '11291'
year: '2021'
...
---
_id: '21557'
author:
- first_name: Anian
full_name: Brosch, Anian
id: '75779'
last_name: Brosch
orcid: 0000-0003-4871-1664
- first_name: Oliver
full_name: Wallscheid, Oliver
id: '11291'
last_name: Wallscheid
orcid: https://orcid.org/0000-0001-9362-8777
- first_name: Joachim
full_name: Böcker, Joachim
id: '66'
last_name: Böcker
orcid: 0000-0002-8480-7295
citation:
ama: Brosch A, Wallscheid O, Böcker J. Torque and Inductances Estimation for Finite
Model Predictive Control of Highly Utilized Permanent Magnet Synchronous Motors.
IEEE Transactions on Industrial Informatics. Published online 2021. doi:10.1109/tii.2021.3060469
apa: Brosch, A., Wallscheid, O., & Böcker, J. (2021). Torque and Inductances
Estimation for Finite Model Predictive Control of Highly Utilized Permanent Magnet
Synchronous Motors. IEEE Transactions on Industrial Informatics. https://doi.org/10.1109/tii.2021.3060469
bibtex: '@article{Brosch_Wallscheid_Böcker_2021, title={Torque and Inductances Estimation
for Finite Model Predictive Control of Highly Utilized Permanent Magnet Synchronous
Motors}, DOI={10.1109/tii.2021.3060469},
journal={IEEE Transactions on Industrial Informatics}, author={Brosch, Anian and
Wallscheid, Oliver and Böcker, Joachim}, year={2021} }'
chicago: Brosch, Anian, Oliver Wallscheid, and Joachim Böcker. “Torque and Inductances
Estimation for Finite Model Predictive Control of Highly Utilized Permanent Magnet
Synchronous Motors.” IEEE Transactions on Industrial Informatics, 2021.
https://doi.org/10.1109/tii.2021.3060469.
ieee: 'A. Brosch, O. Wallscheid, and J. Böcker, “Torque and Inductances Estimation
for Finite Model Predictive Control of Highly Utilized Permanent Magnet Synchronous
Motors,” IEEE Transactions on Industrial Informatics, 2021, doi: 10.1109/tii.2021.3060469.'
mla: Brosch, Anian, et al. “Torque and Inductances Estimation for Finite Model Predictive
Control of Highly Utilized Permanent Magnet Synchronous Motors.” IEEE Transactions
on Industrial Informatics, 2021, doi:10.1109/tii.2021.3060469.
short: A. Brosch, O. Wallscheid, J. Böcker, IEEE Transactions on Industrial Informatics
(2021).
date_created: 2021-03-22T17:32:46Z
date_updated: 2022-02-28T09:14:48Z
department:
- _id: '52'
doi: 10.1109/tii.2021.3060469
language:
- iso: eng
publication: IEEE Transactions on Industrial Informatics
publication_identifier:
issn:
- 1551-3203
- 1941-0050
publication_status: published
status: public
title: Torque and Inductances Estimation for Finite Model Predictive Control of Highly
Utilized Permanent Magnet Synchronous Motors
type: journal_article
user_id: '75779'
year: '2021'
...
---
_id: '29655'
author:
- first_name: Wilhelm
full_name: Kirchgässner, Wilhelm
id: '49265'
last_name: Kirchgässner
orcid: 0000-0001-9490-1843
- first_name: Oliver
full_name: Wallscheid, Oliver
id: '11291'
last_name: Wallscheid
orcid: https://orcid.org/0000-0001-9362-8777
- first_name: Joachim
full_name: Böcker, Joachim
id: '66'
last_name: Böcker
orcid: 0000-0002-8480-7295
citation:
ama: 'Kirchgässner W, Wallscheid O, Böcker J. Thermal Neural Networks: Lumped-Parameter
Thermal Modeling With State-Space Machine Learning. arXiv preprint arXiv:210316323.
Published online 2021.'
apa: 'Kirchgässner, W., Wallscheid, O., & Böcker, J. (2021). Thermal Neural
Networks: Lumped-Parameter Thermal Modeling With State-Space Machine Learning.
In arXiv preprint arXiv:2103.16323.'
bibtex: '@article{Kirchgässner_Wallscheid_Böcker_2021, title={Thermal Neural Networks:
Lumped-Parameter Thermal Modeling With State-Space Machine Learning}, journal={arXiv
preprint arXiv:2103.16323}, author={Kirchgässner, Wilhelm and Wallscheid, Oliver
and Böcker, Joachim}, year={2021} }'
chicago: 'Kirchgässner, Wilhelm, Oliver Wallscheid, and Joachim Böcker. “Thermal
Neural Networks: Lumped-Parameter Thermal Modeling With State-Space Machine Learning.”
ArXiv Preprint ArXiv:2103.16323, 2021.'
ieee: 'W. Kirchgässner, O. Wallscheid, and J. Böcker, “Thermal Neural Networks:
Lumped-Parameter Thermal Modeling With State-Space Machine Learning,” arXiv
preprint arXiv:2103.16323. 2021.'
mla: 'Kirchgässner, Wilhelm, et al. “Thermal Neural Networks: Lumped-Parameter Thermal
Modeling With State-Space Machine Learning.” ArXiv Preprint ArXiv:2103.16323,
2021.'
short: W. Kirchgässner, O. Wallscheid, J. Böcker, ArXiv Preprint ArXiv:2103.16323
(2021).
date_created: 2022-01-28T14:11:06Z
date_updated: 2023-03-09T10:11:13Z
department:
- _id: '52'
language:
- iso: eng
project:
- _id: '52'
name: 'PC2: Computing Resources Provided by the Paderborn Center for Parallel Computing'
publication: arXiv preprint arXiv:2103.16323
status: public
title: 'Thermal Neural Networks: Lumped-Parameter Thermal Modeling With State-Space
Machine Learning'
type: preprint
user_id: '49265'
year: '2021'
...
---
_id: '21252'
author:
- first_name: Arne
full_name: Traue, Arne
last_name: Traue
- first_name: Gerrit
full_name: Book, Gerrit
last_name: Book
- first_name: Wilhelm
full_name: Kirchgässner, Wilhelm
id: '49265'
last_name: Kirchgässner
orcid: 0000-0001-9490-1843
- first_name: Oliver
full_name: Wallscheid, Oliver
id: '11291'
last_name: Wallscheid
orcid: https://orcid.org/0000-0001-9362-8777
citation:
ama: Traue A, Book G, Kirchgässner W, Wallscheid O. Toward a Reinforcement Learning
Environment Toolbox for Intelligent Electric Motor Control. IEEE Transactions
on Neural Networks and Learning Systems. Published online 2020:1-10. doi:10.1109/tnnls.2020.3029573
apa: Traue, A., Book, G., Kirchgässner, W., & Wallscheid, O. (2020). Toward
a Reinforcement Learning Environment Toolbox for Intelligent Electric Motor Control.
IEEE Transactions on Neural Networks and Learning Systems, 1–10. https://doi.org/10.1109/tnnls.2020.3029573
bibtex: '@article{Traue_Book_Kirchgässner_Wallscheid_2020, title={Toward a Reinforcement
Learning Environment Toolbox for Intelligent Electric Motor Control}, DOI={10.1109/tnnls.2020.3029573},
journal={IEEE Transactions on Neural Networks and Learning Systems}, author={Traue,
Arne and Book, Gerrit and Kirchgässner, Wilhelm and Wallscheid, Oliver}, year={2020},
pages={1–10} }'
chicago: Traue, Arne, Gerrit Book, Wilhelm Kirchgässner, and Oliver Wallscheid.
“Toward a Reinforcement Learning Environment Toolbox for Intelligent Electric
Motor Control.” IEEE Transactions on Neural Networks and Learning Systems,
2020, 1–10. https://doi.org/10.1109/tnnls.2020.3029573.
ieee: 'A. Traue, G. Book, W. Kirchgässner, and O. Wallscheid, “Toward a Reinforcement
Learning Environment Toolbox for Intelligent Electric Motor Control,” IEEE
Transactions on Neural Networks and Learning Systems, pp. 1–10, 2020, doi:
10.1109/tnnls.2020.3029573.'
mla: Traue, Arne, et al. “Toward a Reinforcement Learning Environment Toolbox for
Intelligent Electric Motor Control.” IEEE Transactions on Neural Networks and
Learning Systems, 2020, pp. 1–10, doi:10.1109/tnnls.2020.3029573.
short: A. Traue, G. Book, W. Kirchgässner, O. Wallscheid, IEEE Transactions on Neural
Networks and Learning Systems (2020) 1–10.
date_created: 2021-02-16T21:23:53Z
date_updated: 2022-02-18T13:26:18Z
department:
- _id: '52'
doi: 10.1109/tnnls.2020.3029573
language:
- iso: eng
page: 1-10
publication: IEEE Transactions on Neural Networks and Learning Systems
publication_identifier:
issn:
- 2162-237X
- 2162-2388
publication_status: published
status: public
title: Toward a Reinforcement Learning Environment Toolbox for Intelligent Electric
Motor Control
type: journal_article
user_id: '49265'
year: '2020'
...
---
_id: '21250'
author:
- first_name: Wilhelm
full_name: Kirchgässner, Wilhelm
id: '49265'
last_name: Kirchgässner
orcid: 0000-0001-9490-1843
- first_name: Oliver
full_name: Wallscheid, Oliver
id: '11291'
last_name: Wallscheid
orcid: https://orcid.org/0000-0001-9362-8777
- first_name: Joachim
full_name: Böcker, Joachim
id: '66'
last_name: Böcker
orcid: 0000-0002-8480-7295
citation:
ama: Kirchgässner W, Wallscheid O, Böcker J. Estimating Electric Motor Temperatures
with Deep Residual Machine Learning. IEEE Transactions on Power Electronics.
2020;36(7):7480-7488. doi:10.1109/tpel.2020.3045596
apa: Kirchgässner, W., Wallscheid, O., & Böcker, J. (2020). Estimating Electric
Motor Temperatures with Deep Residual Machine Learning. IEEE Transactions on
Power Electronics, 36(7), 7480–7488. https://doi.org/10.1109/tpel.2020.3045596
bibtex: '@article{Kirchgässner_Wallscheid_Böcker_2020, title={Estimating Electric
Motor Temperatures with Deep Residual Machine Learning}, volume={36}, DOI={10.1109/tpel.2020.3045596},
number={7}, journal={IEEE Transactions on Power Electronics}, author={Kirchgässner,
Wilhelm and Wallscheid, Oliver and Böcker, Joachim}, year={2020}, pages={7480–7488}
}'
chicago: 'Kirchgässner, Wilhelm, Oliver Wallscheid, and Joachim Böcker. “Estimating
Electric Motor Temperatures with Deep Residual Machine Learning.” IEEE Transactions
on Power Electronics 36, no. 7 (2020): 7480–88. https://doi.org/10.1109/tpel.2020.3045596.'
ieee: 'W. Kirchgässner, O. Wallscheid, and J. Böcker, “Estimating Electric Motor
Temperatures with Deep Residual Machine Learning,” IEEE Transactions on Power
Electronics, vol. 36, no. 7, pp. 7480–7488, 2020, doi: 10.1109/tpel.2020.3045596.'
mla: Kirchgässner, Wilhelm, et al. “Estimating Electric Motor Temperatures with
Deep Residual Machine Learning.” IEEE Transactions on Power Electronics,
vol. 36, no. 7, 2020, pp. 7480–88, doi:10.1109/tpel.2020.3045596.
short: W. Kirchgässner, O. Wallscheid, J. Böcker, IEEE Transactions on Power Electronics
36 (2020) 7480–7488.
date_created: 2021-02-16T21:22:32Z
date_updated: 2022-02-19T16:51:20Z
department:
- _id: '52'
doi: 10.1109/tpel.2020.3045596
intvolume: ' 36'
issue: '7'
language:
- iso: eng
page: 7480-7488
publication: IEEE Transactions on Power Electronics
publication_identifier:
issn:
- 0885-8993
- 1941-0107
publication_status: published
status: public
title: Estimating Electric Motor Temperatures with Deep Residual Machine Learning
type: journal_article
user_id: '49265'
volume: 36
year: '2020'
...
---
_id: '21558'
author:
- first_name: Anian
full_name: Brosch, Anian
id: '75779'
last_name: Brosch
orcid: 0000-0003-4871-1664
- first_name: Sören
full_name: Hanke, Sören
id: '25027'
last_name: Hanke
- first_name: Oliver
full_name: Wallscheid, Oliver
id: '11291'
last_name: Wallscheid
orcid: https://orcid.org/0000-0001-9362-8777
- first_name: Joachim
full_name: Böcker, Joachim
id: '66'
last_name: Böcker
orcid: 0000-0002-8480-7295
citation:
ama: Brosch A, Hanke S, Wallscheid O, Böcker J. Data-Driven Recursive Least Squares
Estimation for Model Predictive Current Control of Permanent Magnet Synchronous
Motors. IEEE Transactions on Power Electronics. Published online 2020:2179-2190.
doi:10.1109/tpel.2020.3006779
apa: Brosch, A., Hanke, S., Wallscheid, O., & Böcker, J. (2020). Data-Driven
Recursive Least Squares Estimation for Model Predictive Current Control of Permanent
Magnet Synchronous Motors. IEEE Transactions on Power Electronics, 2179–2190.
https://doi.org/10.1109/tpel.2020.3006779
bibtex: '@article{Brosch_Hanke_Wallscheid_Böcker_2020, title={Data-Driven Recursive
Least Squares Estimation for Model Predictive Current Control of Permanent Magnet
Synchronous Motors}, DOI={10.1109/tpel.2020.3006779},
journal={IEEE Transactions on Power Electronics}, author={Brosch, Anian and Hanke,
Sören and Wallscheid, Oliver and Böcker, Joachim}, year={2020}, pages={2179–2190}
}'
chicago: Brosch, Anian, Sören Hanke, Oliver Wallscheid, and Joachim Böcker. “Data-Driven
Recursive Least Squares Estimation for Model Predictive Current Control of Permanent
Magnet Synchronous Motors.” IEEE Transactions on Power Electronics, 2020,
2179–90. https://doi.org/10.1109/tpel.2020.3006779.
ieee: 'A. Brosch, S. Hanke, O. Wallscheid, and J. Böcker, “Data-Driven Recursive
Least Squares Estimation for Model Predictive Current Control of Permanent Magnet
Synchronous Motors,” IEEE Transactions on Power Electronics, pp. 2179–2190,
2020, doi: 10.1109/tpel.2020.3006779.'
mla: Brosch, Anian, et al. “Data-Driven Recursive Least Squares Estimation for Model
Predictive Current Control of Permanent Magnet Synchronous Motors.” IEEE Transactions
on Power Electronics, 2020, pp. 2179–90, doi:10.1109/tpel.2020.3006779.
short: A. Brosch, S. Hanke, O. Wallscheid, J. Böcker, IEEE Transactions on Power
Electronics (2020) 2179–2190.
date_created: 2021-03-22T17:33:06Z
date_updated: 2022-02-22T08:51:24Z
department:
- _id: '52'
doi: 10.1109/tpel.2020.3006779
language:
- iso: eng
page: 2179-2190
publication: IEEE Transactions on Power Electronics
publication_identifier:
issn:
- 0885-8993
- 1941-0107
publication_status: published
status: public
title: Data-Driven Recursive Least Squares Estimation for Model Predictive Current
Control of Permanent Magnet Synchronous Motors
type: journal_article
user_id: '66'
year: '2020'
...
---
_id: '29956'
author:
- first_name: Karl Stephan Christian
full_name: Stille, Karl Stephan Christian
id: '30152'
last_name: Stille
orcid: 0000-0002-4212-6555
- first_name: Daniel
full_name: Weber, Daniel
id: '24041'
last_name: Weber
orcid: 0000-0003-3367-5998
- first_name: Jarren
full_name: Lange, Jarren
id: '78801'
last_name: Lange
- first_name: Thorsten
full_name: Vogt, Thorsten
last_name: Vogt
- first_name: Oliver
full_name: Wallscheid, Oliver
id: '11291'
last_name: Wallscheid
orcid: https://orcid.org/0000-0001-9362-8777
- first_name: Joachim
full_name: Böcker, Joachim
id: '66'
last_name: Böcker
orcid: 0000-0002-8480-7295
citation:
ama: 'Stille KSC, Weber D, Lange J, Vogt T, Wallscheid O, Böcker J. Emulation of
Microgrids for Research and Validation of Control and Operation Strategies. In:
2020 International Symposium on Power Electronics, Electrical Drives, Automation
and Motion (SPEEDAM). IEEE; 2020. doi:10.1109/speedam48782.2020.9161971'
apa: Stille, K. S. C., Weber, D., Lange, J., Vogt, T., Wallscheid, O., & Böcker,
J. (2020). Emulation of Microgrids for Research and Validation of Control and
Operation Strategies. 2020 International Symposium on Power Electronics, Electrical
Drives, Automation and Motion (SPEEDAM). SPEEDAM, Sorrent, Italy. https://doi.org/10.1109/speedam48782.2020.9161971
bibtex: '@inproceedings{Stille_Weber_Lange_Vogt_Wallscheid_Böcker_2020, title={Emulation
of Microgrids for Research and Validation of Control and Operation Strategies},
DOI={10.1109/speedam48782.2020.9161971},
booktitle={2020 International Symposium on Power Electronics, Electrical Drives,
Automation and Motion (SPEEDAM)}, publisher={IEEE}, author={Stille, Karl Stephan
Christian and Weber, Daniel and Lange, Jarren and Vogt, Thorsten and Wallscheid,
Oliver and Böcker, Joachim}, year={2020} }'
chicago: Stille, Karl Stephan Christian, Daniel Weber, Jarren Lange, Thorsten Vogt,
Oliver Wallscheid, and Joachim Böcker. “Emulation of Microgrids for Research and
Validation of Control and Operation Strategies.” In 2020 International Symposium
on Power Electronics, Electrical Drives, Automation and Motion (SPEEDAM).
IEEE, 2020. https://doi.org/10.1109/speedam48782.2020.9161971.
ieee: 'K. S. C. Stille, D. Weber, J. Lange, T. Vogt, O. Wallscheid, and J. Böcker,
“Emulation of Microgrids for Research and Validation of Control and Operation
Strategies,” presented at the SPEEDAM, Sorrent, Italy, 2020, doi: 10.1109/speedam48782.2020.9161971.'
mla: Stille, Karl Stephan Christian, et al. “Emulation of Microgrids for Research
and Validation of Control and Operation Strategies.” 2020 International Symposium
on Power Electronics, Electrical Drives, Automation and Motion (SPEEDAM),
IEEE, 2020, doi:10.1109/speedam48782.2020.9161971.
short: 'K.S.C. Stille, D. Weber, J. Lange, T. Vogt, O. Wallscheid, J. Böcker, in:
2020 International Symposium on Power Electronics, Electrical Drives, Automation
and Motion (SPEEDAM), IEEE, 2020.'
conference:
location: Sorrent, Italy
name: SPEEDAM
start_date: 2020-06
date_created: 2022-02-23T09:06:35Z
date_updated: 2022-02-23T12:49:52Z
department:
- _id: '52'
doi: 10.1109/speedam48782.2020.9161971
language:
- iso: eng
publication: 2020 International Symposium on Power Electronics, Electrical Drives,
Automation and Motion (SPEEDAM)
publication_status: published
publisher: IEEE
status: public
title: Emulation of Microgrids for Research and Validation of Control and Operation
Strategies
type: conference
user_id: '66'
year: '2020'
...
---
_id: '30033'
author:
- first_name: Marius
full_name: Stender, Marius
id: '41240'
last_name: Stender
- first_name: Oliver
full_name: Wallscheid, Oliver
id: '11291'
last_name: Wallscheid
orcid: https://orcid.org/0000-0001-9362-8777
- first_name: Joachim
full_name: Böcker, Joachim
id: '66'
last_name: Böcker
orcid: 0000-0002-8480-7295
citation:
ama: Stender M, Wallscheid O, Böcker J. Comparison of Gray-Box and Black-Box Two-Level
Three-Phase Inverter Models for Electrical Drives. IEEE Transactions on Industrial
Electronics. 2020;68(9):8646-8656. doi:10.1109/tie.2020.3018060
apa: Stender, M., Wallscheid, O., & Böcker, J. (2020). Comparison of Gray-Box
and Black-Box Two-Level Three-Phase Inverter Models for Electrical Drives. IEEE
Transactions on Industrial Electronics, 68(9), 8646–8656. https://doi.org/10.1109/tie.2020.3018060
bibtex: '@article{Stender_Wallscheid_Böcker_2020, title={Comparison of Gray-Box
and Black-Box Two-Level Three-Phase Inverter Models for Electrical Drives}, volume={68},
DOI={10.1109/tie.2020.3018060},
number={9}, journal={IEEE Transactions on Industrial Electronics}, publisher={Institute
of Electrical and Electronics Engineers (IEEE)}, author={Stender, Marius and Wallscheid,
Oliver and Böcker, Joachim}, year={2020}, pages={8646–8656} }'
chicago: 'Stender, Marius, Oliver Wallscheid, and Joachim Böcker. “Comparison of
Gray-Box and Black-Box Two-Level Three-Phase Inverter Models for Electrical Drives.”
IEEE Transactions on Industrial Electronics 68, no. 9 (2020): 8646–56.
https://doi.org/10.1109/tie.2020.3018060.'
ieee: 'M. Stender, O. Wallscheid, and J. Böcker, “Comparison of Gray-Box and Black-Box
Two-Level Three-Phase Inverter Models for Electrical Drives,” IEEE Transactions
on Industrial Electronics, vol. 68, no. 9, pp. 8646–8656, 2020, doi: 10.1109/tie.2020.3018060.'
mla: Stender, Marius, et al. “Comparison of Gray-Box and Black-Box Two-Level Three-Phase
Inverter Models for Electrical Drives.” IEEE Transactions on Industrial Electronics,
vol. 68, no. 9, Institute of Electrical and Electronics Engineers (IEEE), 2020,
pp. 8646–56, doi:10.1109/tie.2020.3018060.
short: M. Stender, O. Wallscheid, J. Böcker, IEEE Transactions on Industrial Electronics
68 (2020) 8646–8656.
date_created: 2022-02-24T09:26:06Z
date_updated: 2022-02-24T09:26:45Z
department:
- _id: '52'
doi: 10.1109/tie.2020.3018060
intvolume: ' 68'
issue: '9'
keyword:
- Electrical and Electronic Engineering
- Control and Systems Engineering
language:
- iso: eng
page: 8646-8656
publication: IEEE Transactions on Industrial Electronics
publication_identifier:
issn:
- 0278-0046
- 1557-9948
publication_status: published
publisher: Institute of Electrical and Electronics Engineers (IEEE)
status: public
title: Comparison of Gray-Box and Black-Box Two-Level Three-Phase Inverter Models
for Electrical Drives
type: journal_article
user_id: '41240'
volume: 68
year: '2020'
...
---
_id: '30036'
author:
- first_name: Marius
full_name: Stender, Marius
id: '41240'
last_name: Stender
- first_name: Oliver
full_name: Wallscheid, Oliver
id: '11291'
last_name: Wallscheid
orcid: https://orcid.org/0000-0001-9362-8777
- first_name: Joachim
full_name: Böcker, Joachim
id: '66'
last_name: Böcker
orcid: 0000-0002-8480-7295
citation:
ama: 'Stender M, Wallscheid O, Böcker J. Accurate Torque Estimation for Induction
Motors by Utilizing Globally Optimized Flux Observers. In: 2020 International
Symposium on Power Electronics, Electrical Drives, Automation and Motion (SPEEDAM).
IEEE; 2020. doi:10.1109/speedam48782.2020.9161955'
apa: Stender, M., Wallscheid, O., & Böcker, J. (2020). Accurate Torque Estimation
for Induction Motors by Utilizing Globally Optimized Flux Observers. 2020 International
Symposium on Power Electronics, Electrical Drives, Automation and Motion (SPEEDAM).
https://doi.org/10.1109/speedam48782.2020.9161955
bibtex: '@inproceedings{Stender_Wallscheid_Böcker_2020, title={Accurate Torque Estimation
for Induction Motors by Utilizing Globally Optimized Flux Observers}, DOI={10.1109/speedam48782.2020.9161955},
booktitle={2020 International Symposium on Power Electronics, Electrical Drives,
Automation and Motion (SPEEDAM)}, publisher={IEEE}, author={Stender, Marius and
Wallscheid, Oliver and Böcker, Joachim}, year={2020} }'
chicago: Stender, Marius, Oliver Wallscheid, and Joachim Böcker. “Accurate Torque
Estimation for Induction Motors by Utilizing Globally Optimized Flux Observers.”
In 2020 International Symposium on Power Electronics, Electrical Drives, Automation
and Motion (SPEEDAM). IEEE, 2020. https://doi.org/10.1109/speedam48782.2020.9161955.
ieee: 'M. Stender, O. Wallscheid, and J. Böcker, “Accurate Torque Estimation for
Induction Motors by Utilizing Globally Optimized Flux Observers,” 2020, doi: 10.1109/speedam48782.2020.9161955.'
mla: Stender, Marius, et al. “Accurate Torque Estimation for Induction Motors by
Utilizing Globally Optimized Flux Observers.” 2020 International Symposium
on Power Electronics, Electrical Drives, Automation and Motion (SPEEDAM),
IEEE, 2020, doi:10.1109/speedam48782.2020.9161955.
short: 'M. Stender, O. Wallscheid, J. Böcker, in: 2020 International Symposium on
Power Electronics, Electrical Drives, Automation and Motion (SPEEDAM), IEEE, 2020.'
date_created: 2022-02-24T09:50:23Z
date_updated: 2022-02-24T09:50:50Z
department:
- _id: '52'
doi: 10.1109/speedam48782.2020.9161955
language:
- iso: eng
publication: 2020 International Symposium on Power Electronics, Electrical Drives,
Automation and Motion (SPEEDAM)
publication_status: published
publisher: IEEE
status: public
title: Accurate Torque Estimation for Induction Motors by Utilizing Globally Optimized
Flux Observers
type: conference
user_id: '41240'
year: '2020'
...
---
_id: '29649'
author:
- first_name: Stefan
full_name: Heid, Stefan
id: '39640'
last_name: Heid
orcid: 0000-0002-9461-7372
- first_name: Daniel
full_name: Weber, Daniel
id: '24041'
last_name: Weber
orcid: 0000-0003-3367-5998
- first_name: Henrik
full_name: Bode, Henrik
id: '40880'
last_name: Bode
- first_name: Eyke
full_name: Hüllermeier, Eyke
last_name: Hüllermeier
- first_name: Oliver
full_name: Wallscheid, Oliver
id: '11291'
last_name: Wallscheid
orcid: https://orcid.org/0000-0001-9362-8777
citation:
ama: 'Heid S, Weber D, Bode H, Hüllermeier E, Wallscheid O. OMG: A scalable and
flexible simulation and testing environment toolbox for intelligent microgrid
control. Journal of Open Source Software. 2020;5(54):2435.'
apa: 'Heid, S., Weber, D., Bode, H., Hüllermeier, E., & Wallscheid, O. (2020).
OMG: A scalable and flexible simulation and testing environment toolbox for intelligent
microgrid control. Journal of Open Source Software, 5(54), 2435.'
bibtex: '@article{Heid_Weber_Bode_Hüllermeier_Wallscheid_2020, title={OMG: A scalable
and flexible simulation and testing environment toolbox for intelligent microgrid
control}, volume={5}, number={54}, journal={Journal of Open Source Software},
author={Heid, Stefan and Weber, Daniel and Bode, Henrik and Hüllermeier, Eyke
and Wallscheid, Oliver}, year={2020}, pages={2435} }'
chicago: 'Heid, Stefan, Daniel Weber, Henrik Bode, Eyke Hüllermeier, and Oliver
Wallscheid. “OMG: A Scalable and Flexible Simulation and Testing Environment Toolbox
for Intelligent Microgrid Control.” Journal of Open Source Software 5,
no. 54 (2020): 2435.'
ieee: 'S. Heid, D. Weber, H. Bode, E. Hüllermeier, and O. Wallscheid, “OMG: A scalable
and flexible simulation and testing environment toolbox for intelligent microgrid
control,” Journal of Open Source Software, vol. 5, no. 54, p. 2435, 2020.'
mla: 'Heid, Stefan, et al. “OMG: A Scalable and Flexible Simulation and Testing
Environment Toolbox for Intelligent Microgrid Control.” Journal of Open Source
Software, vol. 5, no. 54, 2020, p. 2435.'
short: S. Heid, D. Weber, H. Bode, E. Hüllermeier, O. Wallscheid, Journal of Open
Source Software 5 (2020) 2435.
date_created: 2022-01-28T14:11:04Z
date_updated: 2022-03-02T07:16:15Z
department:
- _id: '52'
- _id: '57'
intvolume: ' 5'
issue: '54'
language:
- iso: eng
page: '2435'
publication: Journal of Open Source Software
status: public
title: 'OMG: A scalable and flexible simulation and testing environment toolbox for
intelligent microgrid control'
type: journal_article
user_id: '11291'
volume: 5
year: '2020'
...
---
_id: '29644'
author:
- first_name: Henrik
full_name: Bode, Henrik
id: '40880'
last_name: Bode
- first_name: Stefan
full_name: Heid, Stefan
id: '39640'
last_name: Heid
orcid: 0000-0002-9461-7372
- first_name: Daniel
full_name: Weber, Daniel
id: '24041'
last_name: Weber
orcid: 0000-0003-3367-5998
- first_name: Eyke
full_name: Hüllermeier, Eyke
last_name: Hüllermeier
- first_name: Oliver
full_name: Wallscheid, Oliver
id: '11291'
last_name: Wallscheid
orcid: https://orcid.org/0000-0001-9362-8777
citation:
ama: Bode H, Heid S, Weber D, Hüllermeier E, Wallscheid O. Towards a scalable and
flexible simulation and testing environment toolbox for intelligent microgrid
control. arXiv preprint arXiv:200504869. Published online 2020.
apa: Bode, H., Heid, S., Weber, D., Hüllermeier, E., & Wallscheid, O. (2020).
Towards a scalable and flexible simulation and testing environment toolbox for
intelligent microgrid control. ArXiv Preprint ArXiv:2005.04869.
bibtex: '@article{Bode_Heid_Weber_Hüllermeier_Wallscheid_2020, title={Towards a
scalable and flexible simulation and testing environment toolbox for intelligent
microgrid control}, journal={arXiv preprint arXiv:2005.04869}, author={Bode, Henrik
and Heid, Stefan and Weber, Daniel and Hüllermeier, Eyke and Wallscheid, Oliver},
year={2020} }'
chicago: Bode, Henrik, Stefan Heid, Daniel Weber, Eyke Hüllermeier, and Oliver Wallscheid.
“Towards a Scalable and Flexible Simulation and Testing Environment Toolbox for
Intelligent Microgrid Control.” ArXiv Preprint ArXiv:2005.04869, 2020.
ieee: H. Bode, S. Heid, D. Weber, E. Hüllermeier, and O. Wallscheid, “Towards a
scalable and flexible simulation and testing environment toolbox for intelligent
microgrid control,” arXiv preprint arXiv:2005.04869, 2020.
mla: Bode, Henrik, et al. “Towards a Scalable and Flexible Simulation and Testing
Environment Toolbox for Intelligent Microgrid Control.” ArXiv Preprint ArXiv:2005.04869,
2020.
short: H. Bode, S. Heid, D. Weber, E. Hüllermeier, O. Wallscheid, ArXiv Preprint
ArXiv:2005.04869 (2020).
date_created: 2022-01-28T14:11:03Z
date_updated: 2022-03-02T07:17:27Z
department:
- _id: '52'
language:
- iso: eng
publication: arXiv preprint arXiv:2005.04869
status: public
title: Towards a scalable and flexible simulation and testing environment toolbox
for intelligent microgrid control
type: journal_article
user_id: '11291'
year: '2020'
...
---
_id: '29641'
author:
- first_name: Emebet Gebeyehu
full_name: Gedlu, Emebet Gebeyehu
id: '77572'
last_name: Gedlu
- first_name: Oliver
full_name: Wallscheid, Oliver
id: '11291'
last_name: Wallscheid
orcid: https://orcid.org/0000-0001-9362-8777
- first_name: Joachim
full_name: Böcker, Joachim
id: '66'
last_name: Böcker
orcid: 0000-0002-8480-7295
citation:
ama: 'Gedlu EG, Wallscheid O, Böcker J. Permanent magnet synchronous machine temperature
estimation using low-order lumped-parameter thermal network with extended iron
loss model. In: The 10th International Conference on Power Electronics, Machines
and Drives (PEMD 2020). Vol 2020. ; 2020:937–942.'
apa: Gedlu, E. G., Wallscheid, O., & Böcker, J. (2020). Permanent magnet synchronous
machine temperature estimation using low-order lumped-parameter thermal network
with extended iron loss model. The 10th International Conference on Power Electronics,
Machines and Drives (PEMD 2020), 2020, 937–942.
bibtex: '@inproceedings{Gedlu_Wallscheid_Böcker_2020, title={Permanent magnet synchronous
machine temperature estimation using low-order lumped-parameter thermal network
with extended iron loss model}, volume={2020}, booktitle={The 10th International
Conference on Power Electronics, Machines and Drives (PEMD 2020)}, author={Gedlu,
Emebet Gebeyehu and Wallscheid, Oliver and Böcker, Joachim}, year={2020}, pages={937–942}
}'
chicago: Gedlu, Emebet Gebeyehu, Oliver Wallscheid, and Joachim Böcker. “Permanent
Magnet Synchronous Machine Temperature Estimation Using Low-Order Lumped-Parameter
Thermal Network with Extended Iron Loss Model.” In The 10th International Conference
on Power Electronics, Machines and Drives (PEMD 2020), 2020:937–942, 2020.
ieee: E. G. Gedlu, O. Wallscheid, and J. Böcker, “Permanent magnet synchronous machine
temperature estimation using low-order lumped-parameter thermal network with extended
iron loss model,” in The 10th International Conference on Power Electronics,
Machines and Drives (PEMD 2020), 2020, vol. 2020, pp. 937–942.
mla: Gedlu, Emebet Gebeyehu, et al. “Permanent Magnet Synchronous Machine Temperature
Estimation Using Low-Order Lumped-Parameter Thermal Network with Extended Iron
Loss Model.” The 10th International Conference on Power Electronics, Machines
and Drives (PEMD 2020), vol. 2020, 2020, pp. 937–942.
short: 'E.G. Gedlu, O. Wallscheid, J. Böcker, in: The 10th International Conference
on Power Electronics, Machines and Drives (PEMD 2020), 2020, pp. 937–942.'
date_created: 2022-01-28T14:11:02Z
date_updated: 2022-03-02T07:22:12Z
department:
- _id: '52'
intvolume: ' 2020'
language:
- iso: eng
page: 937–942
publication: The 10th International Conference on Power Electronics, Machines and
Drives (PEMD 2020)
status: public
title: Permanent magnet synchronous machine temperature estimation using low-order
lumped-parameter thermal network with extended iron loss model
type: conference
user_id: '11291'
volume: 2020
year: '2020'
...
---
_id: '29643'
author:
- first_name: Oliver
full_name: Wallscheid, Oliver
id: '11291'
last_name: Wallscheid
orcid: https://orcid.org/0000-0001-9362-8777
- first_name: Etienne Florian Bouna
full_name: Ngoumtsa, Etienne Florian Bouna
last_name: Ngoumtsa
citation:
ama: Wallscheid O, Ngoumtsa EFB. Investigation of disturbance observers for model
predictive current control in electric drives. IEEE Transactions on Power Electronics.
2020;35(12):13563–13572.
apa: Wallscheid, O., & Ngoumtsa, E. F. B. (2020). Investigation of disturbance
observers for model predictive current control in electric drives. IEEE Transactions
on Power Electronics, 35(12), 13563–13572.
bibtex: '@article{Wallscheid_Ngoumtsa_2020, title={Investigation of disturbance
observers for model predictive current control in electric drives}, volume={35},
number={12}, journal={IEEE Transactions on Power Electronics}, publisher={IEEE},
author={Wallscheid, Oliver and Ngoumtsa, Etienne Florian Bouna}, year={2020},
pages={13563–13572} }'
chicago: 'Wallscheid, Oliver, and Etienne Florian Bouna Ngoumtsa. “Investigation
of Disturbance Observers for Model Predictive Current Control in Electric Drives.”
IEEE Transactions on Power Electronics 35, no. 12 (2020): 13563–13572.'
ieee: O. Wallscheid and E. F. B. Ngoumtsa, “Investigation of disturbance observers
for model predictive current control in electric drives,” IEEE Transactions
on Power Electronics, vol. 35, no. 12, pp. 13563–13572, 2020.
mla: Wallscheid, Oliver, and Etienne Florian Bouna Ngoumtsa. “Investigation of Disturbance
Observers for Model Predictive Current Control in Electric Drives.” IEEE Transactions
on Power Electronics, vol. 35, no. 12, IEEE, 2020, pp. 13563–13572.
short: O. Wallscheid, E.F.B. Ngoumtsa, IEEE Transactions on Power Electronics 35
(2020) 13563–13572.
date_created: 2022-01-28T14:11:03Z
date_updated: 2022-03-17T07:27:02Z
department:
- _id: '52'
intvolume: ' 35'
issue: '12'
language:
- iso: eng
page: 13563–13572
publication: IEEE Transactions on Power Electronics
publisher: IEEE
status: public
title: Investigation of disturbance observers for model predictive current control
in electric drives
type: journal_article
user_id: '11291'
volume: 35
year: '2020'
...
---
_id: '29642'
author:
- first_name: Sören
full_name: Hanke, Sören
id: '25027'
last_name: Hanke
orcid: 0000-0001-8216-1278
- first_name: Oliver
full_name: Wallscheid, Oliver
id: '11291'
last_name: Wallscheid
orcid: https://orcid.org/0000-0001-9362-8777
- first_name: Joachim
full_name: Böcker, Joachim
id: '66'
last_name: Böcker
orcid: 0000-0002-8480-7295
citation:
ama: 'Hanke S, Wallscheid O, Böcker J. Data Set Description: Identifying the Physics
Behind an Electric Motor–Data-Driven Learning of the Electrical Behavior (Part
II). arXiv preprint arXiv:200306268. Published online 2020.'
apa: 'Hanke, S., Wallscheid, O., & Böcker, J. (2020). Data Set Description:
Identifying the Physics Behind an Electric Motor–Data-Driven Learning of the Electrical
Behavior (Part II). ArXiv Preprint ArXiv:2003.06268.'
bibtex: '@article{Hanke_Wallscheid_Böcker_2020, title={Data Set Description: Identifying
the Physics Behind an Electric Motor–Data-Driven Learning of the Electrical Behavior
(Part II)}, journal={arXiv preprint arXiv:2003.06268}, author={Hanke, Sören and
Wallscheid, Oliver and Böcker, Joachim}, year={2020} }'
chicago: 'Hanke, Sören, Oliver Wallscheid, and Joachim Böcker. “Data Set Description:
Identifying the Physics Behind an Electric Motor–Data-Driven Learning of the Electrical
Behavior (Part II).” ArXiv Preprint ArXiv:2003.06268, 2020.'
ieee: 'S. Hanke, O. Wallscheid, and J. Böcker, “Data Set Description: Identifying
the Physics Behind an Electric Motor–Data-Driven Learning of the Electrical Behavior
(Part II),” arXiv preprint arXiv:2003.06268, 2020.'
mla: 'Hanke, Sören, et al. “Data Set Description: Identifying the Physics Behind
an Electric Motor–Data-Driven Learning of the Electrical Behavior (Part II).”
ArXiv Preprint ArXiv:2003.06268, 2020.'
short: S. Hanke, O. Wallscheid, J. Böcker, ArXiv Preprint ArXiv:2003.06268 (2020).
date_created: 2022-01-28T14:11:03Z
date_updated: 2022-03-17T07:25:17Z
department:
- _id: '52'
language:
- iso: eng
publication: arXiv preprint arXiv:2003.06268
status: public
title: 'Data Set Description: Identifying the Physics Behind an Electric Motor–Data-Driven
Learning of the Electrical Behavior (Part II)'
type: journal_article
user_id: '11291'
year: '2020'
...