Hybrid machine learning framework for electrical grid stability prediction using comparative model evaluation.

Subramanian N, Stonier AA

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DOI: 10.3389/frai.2026.1963509
Published: 2026
Container: Frontiers in artificial intelligence
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.3389/frai.2026.1963509,
  title = {Hybrid machine learning framework for electrical grid stability prediction using comparative model evaluation.},
  author = {Subramanian N and Stonier AA},
  year = {2026},
  journal = {Frontiers in artificial intelligence},
  doi = {10.3389/frai.2026.1963509},
  url = {https://doi.org/10.3389/frai.2026.1963509}
}

RIS

TY  - JOUR
TI  - Hybrid machine learning framework for electrical grid stability prediction using comparative model evaluation.
AU  - Subramanian N
AU  - Stonier AA
PY  - 2026
JO  - Frontiers in artificial intelligence
DO  - 10.3389/frai.2026.1963509
UR  - https://doi.org/10.3389/frai.2026.1963509
ER  -

APA

N, S., & AA, S. (2026). Hybrid machine learning framework for electrical grid stability prediction using comparative model evaluation.. Frontiers in artificial intelligence. https://doi.org/10.3389/frai.2026.1963509

Source records

pubmed · retrieved 2026-11-10T10:34:04.314Z
europe-pmc · retrieved 2026-11-10T10:34:04.313Z
doaj · retrieved 2026-11-10T10:34:04.305Z