A CGAN-based adversarial attack method for data-driven state estimation
With the development of data science and technology, the data-driven algorithms under the new power system architecture provide support for real-time and accurate state estimation (SE). However, the adoption of data-driven algorithms also introduces new security risks to power systems due to their i...
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| Autori principali: | , , , , , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Elsevier
2025-09-01
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| Serie: | International Journal of Electrical Power & Energy Systems |
| Soggetti: | |
| Accesso online: | http://www.sciencedirect.com/science/article/pii/S0142061525004260 |
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