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Physics-Informed Machine Learning Surrogates with Optimization-Based Guarantees: Applications to AC Power Flow.

Conference ·
DOI:https://doi.org/10.2172/1897922· OSTI ID:1897922
Abstract not provided.
Research Organization:
Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States)
Sponsoring Organization:
USDOE National Nuclear Security Administration (NNSA)
DOE Contract Number:
NA0003525;
OSTI ID:
1897922
Report Number(s):
SAND2021-14467C; 701553
Resource Type:
Conference presentation
Conference Information:
Proposed for presentation at the AIChE Annual Meeting held November 8-12, 2021 in Bostom, MA United States
Country of Publication:
United States
Language:
English

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