Accelerating the simulation of equation-based models by replacing non-linear algebraic loops with error-controlled machine learning surrogates
A. Heuermann, P. Hannebohm, M. Schäfer, B. Bachmann, in: D. Müller, A. Monti, A. Benigni (Eds.), Proceedings of the 15th International Modelica Conference 2023, Aachen, October 9-11, Linköping University Electronic Press, 2023, pp. 275–284.
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Autor*in
Herausgeber*in
Müller, Dirk ;
Monti, Antonello ;
Benigni, Andrea
Erscheinungsjahr
Titel des Konferenzbandes
Proceedings of the 15th International Modelica Conference 2023, Aachen, October 9-11
Band
204
Seite
275-284
Konferenz
15th International Modelica Conference 2023
Konferenzort
Aachen
Konferenzdatum
2023-10-09 – 2023-10-11
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ISSN
eISSN
FH-PUB-ID
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Heuermann, Andreas ; Hannebohm, Philip ; Schäfer, Matthias ; Bachmann, Bernhard: Accelerating the simulation of equation-based models by replacing non-linear algebraic loops with error-controlled machine learning surrogates. In: Müller, D. ; Monti, A. ; Benigni, A. (Hrsg.): Proceedings of the 15th International Modelica Conference 2023, Aachen, October 9-11, Linköping Electronic Conference Proceedings. Bd. 204 : Linköping University Electronic Press, 2023, S. 275–284
Heuermann A, Hannebohm P, Schäfer M, Bachmann B. Accelerating the simulation of equation-based models by replacing non-linear algebraic loops with error-controlled machine learning surrogates. In: Müller D, Monti A, Benigni A, eds. Proceedings of the 15th International Modelica Conference 2023, Aachen, October 9-11. Vol 204. Linköping Electronic Conference Proceedings. Linköping University Electronic Press; 2023:275-284. doi:10.3384/ecp204275
Heuermann, A., Hannebohm, P., Schäfer, M., & Bachmann, B. (2023). Accelerating the simulation of equation-based models by replacing non-linear algebraic loops with error-controlled machine learning surrogates. In D. Müller, A. Monti, & A. Benigni (Eds.), Proceedings of the 15th International Modelica Conference 2023, Aachen, October 9-11 (Vol. 204, pp. 275–284). Aachen: Linköping University Electronic Press. https://doi.org/10.3384/ecp204275
@inproceedings{Heuermann_Hannebohm_Schäfer_Bachmann_2023, series={Linköping Electronic Conference Proceedings}, title={Accelerating the simulation of equation-based models by replacing non-linear algebraic loops with error-controlled machine learning surrogates}, volume={204}, DOI={10.3384/ecp204275}, booktitle={Proceedings of the 15th International Modelica Conference 2023, Aachen, October 9-11}, publisher={Linköping University Electronic Press}, author={Heuermann, Andreas and Hannebohm, Philip and Schäfer, Matthias and Bachmann, Bernhard}, editor={Müller, Dirk and Monti, Antonello and Benigni, Andrea Editors}, year={2023}, pages={275–284}, collection={Linköping Electronic Conference Proceedings} }
Heuermann, Andreas, Philip Hannebohm, Matthias Schäfer, and Bernhard Bachmann. “Accelerating the Simulation of Equation-Based Models by Replacing Non-Linear Algebraic Loops with Error-Controlled Machine Learning Surrogates.” In Proceedings of the 15th International Modelica Conference 2023, Aachen, October 9-11, edited by Dirk Müller, Antonello Monti, and Andrea Benigni, 204:275–84. Linköping Electronic Conference Proceedings. Linköping University Electronic Press, 2023. https://doi.org/10.3384/ecp204275.
A. Heuermann, P. Hannebohm, M. Schäfer, and B. Bachmann, “Accelerating the simulation of equation-based models by replacing non-linear algebraic loops with error-controlled machine learning surrogates,” in Proceedings of the 15th International Modelica Conference 2023, Aachen, October 9-11, Aachen, 2023, vol. 204, pp. 275–284.
Heuermann, Andreas, et al. “Accelerating the Simulation of Equation-Based Models by Replacing Non-Linear Algebraic Loops with Error-Controlled Machine Learning Surrogates.” Proceedings of the 15th International Modelica Conference 2023, Aachen, October 9-11, edited by Dirk Müller et al., vol. 204, Linköping University Electronic Press, 2023, pp. 275–84, doi:10.3384/ecp204275.
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