AC-Optimal Power Flow Solutions with Security Constraints from Deep Neural Network Models.
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:
- 1882499
- Report Number(s):
- SAND2021-9186C; 698277
- Resource Type:
- Conference paper
- Conference Information:
- Proposed for presentation at the 31st European Symposium on Computer-Aided Process Engineering (ESCAPE-31) held June 6-February 9, 2021 in Istanbul (virtual), Turkey (virtual)
- Country of Publication:
- United States
- Language:
- English
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