Unified resilience model using deep learning for assessing power system performance
- DOI
- 10.1016/j.heliyon.2025.e42802
- Published
- 2025-02
- Container
- Heliyon
- Publisher
- Elsevier BV
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.heliyon.2025.e42802,
title = {Unified resilience model using deep learning for assessing power system performance},
author = {Volodymyr Artemchuk and Iurii Garbuz and Jamil Abedalrahim Jamil Alsayaydeh and Vadym Shkarupylo and Andrii Oliinyk and Mohd Faizal Bin Yusof and Safarudin Gazali Herawan},
year = {2025},
journal = {Heliyon},
doi = {10.1016/j.heliyon.2025.e42802},
url = {https://doi.org/10.1016/j.heliyon.2025.e42802}
}RIS
TY - JOUR TI - Unified resilience model using deep learning for assessing power system performance AU - Volodymyr Artemchuk AU - Iurii Garbuz AU - Jamil Abedalrahim Jamil Alsayaydeh AU - Vadym Shkarupylo AU - Andrii Oliinyk AU - Mohd Faizal Bin Yusof AU - Safarudin Gazali Herawan PY - 2025 JO - Heliyon DO - 10.1016/j.heliyon.2025.e42802 UR - https://doi.org/10.1016/j.heliyon.2025.e42802 ER -
APA
Artemchuk, V., Garbuz, I., Alsayaydeh, J. A. J., Shkarupylo, V., Oliinyk, A., Yusof, M. F. B., & Herawan, S. G. (2025). Unified resilience model using deep learning for assessing power system performance. Heliyon. https://doi.org/10.1016/j.heliyon.2025.e42802
Source records
- crossref · retrieved 2026-09-27T01:31:48.558Z