Deep Reinforcement Learning Based Secure Communication and Computing Resource Allocation for Grid Cyber-Physical System
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-97-2757-5_29
Reference11 articles.
1. He, R., Xie, H., Deng, J., Feng, T., Lai, L.L., Shahidehpour, M.: Reliability modeling and assessment of cyber space in cyber-physical power systems. IEEE Trans. Smart Grid 11(5), 3763–3773 (2020)
2. Xu, L., Guo, Q., Wang, Z., Sun, H.: Modeling of time-delayed distributed cyber-physical power systems for small-signal stability analysis. IEEE Trans. Smart Grid 12(4), 3425–3437 (2021)
3. Tian, M., Dong, Z., Gong, L., Wang, X.: Coordinated repair crew dispatch problem for cyber–physical distribution system. IEEE Trans. Smart Grid. 14(3), 2288–2300 (2023)
4. Liu, Z., Wang, L.: Leveraging network topology optimization to strengthen power grid resilience against cyber-physical attacks. IEEE Trans. Smart Grid 12(2), 1552–1564 (2021)
5. Brecht, B., et al.: A security credential management system for V2X communications. IEEE Trans. Intell. Transp. Syst. 19(12), 3850–3871 (2018)
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