DAE-PINN: a physics-informed neural network model for simulating differential algebraic equations with application to power networks

Moya, Christian; Lin, Guang

doi:10.1007/s00521-022-07886-y

DAE-PINN: a physics-informed neural network model for simulating differential algebraic equations with application to power networks

Journal Article · 15 October 2022 · Neural Computing and Applications

DOI:https://doi.org/10.1007/s00521-022-07886-y· OSTI ID:2421762

Moya, Christian ^[1];

OSTI

Not provided.

Research Organization:: Purdue Univ., West Lafayette, IN (United States)

Sponsoring Organization:: USDOE Office of Science (SC)

DOE Contract Number:: SC0021142

OSTI ID:: 2421762

Journal Information:: Neural Computing and Applications, Journal Name: Neural Computing and Applications Journal Issue: 5 Vol. 35; ISSN 0941-0643

Publisher:: Springer Nature

Country of Publication:: United States

Language:: English

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