On Approximating the Dynamic Response of Synchronous Generators via Operator Learning: A Step Towards Building Deep Operator-based Power Grid Simulators.
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%0 Journal Article
%1 journals/corr/abs-2301-12538
%A Moya, Christian
%A Lin, Guang
%A Zhao, Tianqiao
%A Yue, Meng
%D 2023
%J CoRR
%K dblp
%T On Approximating the Dynamic Response of Synchronous Generators via Operator Learning: A Step Towards Building Deep Operator-based Power Grid Simulators.
%U http://dblp.uni-trier.de/db/journals/corr/corr2301.html#abs-2301-12538
%V abs/2301.12538
@article{journals/corr/abs-2301-12538,
added-at = {2023-02-01T00:00:00.000+0100},
author = {Moya, Christian and Lin, Guang and Zhao, Tianqiao and Yue, Meng},
biburl = {https://www.bibsonomy.org/bibtex/215525bb17e463dd6904b295c519531c4/dblp},
ee = {https://doi.org/10.48550/arXiv.2301.12538},
interhash = {994d33367b927548052d675865c8a591},
intrahash = {15525bb17e463dd6904b295c519531c4},
journal = {CoRR},
keywords = {dblp},
timestamp = {2024-04-08T23:22:21.000+0200},
title = {On Approximating the Dynamic Response of Synchronous Generators via Operator Learning: A Step Towards Building Deep Operator-based Power Grid Simulators.},
url = {http://dblp.uni-trier.de/db/journals/corr/corr2301.html#abs-2301-12538},
volume = {abs/2301.12538},
year = 2023
}
