EDP Sciences logo
Web of Conferences logo
Search
Menu
All issues Volume 469 (2023) E3S Web of Conf., 469 (2023) 00095 References
Open Access
Issue
E3S Web of Conf.
Volume 469, 2023
The International Conference on Energy and Green Computing (ICEGC’2023)
Article Number 00095
Number of page(s) 12
DOI https://doi.org/10.1051/e3sconf/202346900095
Published online 20 December 2023
  1. K. Bitirgen, Ü. Başaran Filik, Energy Sources A: Recovery Util. Environ. Eff. 43 (2021) [Google Scholar]
  2. K. Kimani, V. Oduol, and K. Langat, Int. J. Crit. Infrastruct. Prot. 25 (2019) [Google Scholar]
  3. O. Boyaci, A. Umunnakwe, A. Sahu, M.R. Narimani, M. Ismail, Muhammad, K.R. Davis, and E. Serpedin, Prasanna, IEEE Syst. J. 16 (2021) [Google Scholar]
  4. X. Fang, S. Misra, G. Xue, and D. Yang, IEEE Commun. Surv. Tutor. 14 (2011) [Google Scholar]
  5. W. Ding, M. Xu, Y. Huang, P. Zhao, F. Song, Reliab. Eng. Syst. Saf., 212 (2021) [Google Scholar]
  6. S. Wu, Y. Jiang, H. Luo, J. Zhang, S. Yin, O. Kaynak, Reliab. Eng. Syst. Saf. 220 (2022) [Google Scholar]
  7. Y. Himeur, K. Ghanem, A. Alsalemi, F. Bensaali, A. Amira, Appl. Energy 287 (2021) [Google Scholar]
  8. Z. Wang, T. Hong, Appl. Energy 269 (2020) [Google Scholar]
  9. K. Bitirgen, Ü Başaran Filik, Int. J. Crit. Infrastruct. Prot. 40 (2023) [Google Scholar]
  10. V. Mnih, K. Kavukcuoglu, D. Silver, A.A. Rusu, J. Veness, M.G. Bellemare, A. Graves, M. Riedmiller, A.K. Fidjeland, G. Ostrovski, and others, Nature 518 (2015) [Google Scholar]
  11. H. Li, Y. WU, and M. Chen, IEEE Trans. Cybern. 51 (2020) [Google Scholar]
  12. O. Afshin and D. Hajinezhad, Appl. Intell. 53 (2023) [Google Scholar]
  13. Y. Li, J. Yan, and M. Naili, Deep reinforcement learning for penetration testing of cyber-physical attacks in the smart grid, 2022 International Joint Conference on Neural Networks (IJCNN), 18-23 July, 2022, Padua, Italy (2022) [Google Scholar]
  14. M.N. Kurt, O. Oyetunji, L. Chong, X. Wang, IEEE Trans. Smart Grid 10 (2018) [Google Scholar]
  15. N. Javaid, N. Jan, and M.U. Javed, J. Parallel Distrib. Comput. 153 (2021) [Google Scholar]
  16. T. Miller, A. Staves, S. Maesschalck, M. Sturdee, and B. Green, Int. J. Crit. Infrastruct. Prot. 35 (2021) [Google Scholar]
  17. P. Chen, S. Liu, B. Chen, and L. Yu, IEEE Trans. Smart Grid 13 (2022) [Google Scholar]
  18. H.M. Rouzbahani, H. Karimipour, and L.L. Hadis, Int J. Electr. Power Energy Syst. 146 (2023) [Google Scholar]
  19. P. Jokar, N. Arianpoo, and V. C. M. Leung, IEEE Trans. Smart Grid 7 (2016) [Google Scholar]
  20. M. M. Buzau, J. Tejedor-Aguilera, P. Cruz-Romero, and A. Gómez-Expósito, IEEE Trans. Smart Grid 10 (2019) [Google Scholar]
  21. Nguyen, Ngoc Duy, et al. Appl. Intell. 53 (2023) [Google Scholar]
  22. J. Lee, W. Wang, and D. Niyato, Demand-side scheduling based on multi-agent deep actor-critic learning for smart grids, 2020 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm), 11-13 Nov. 2020, Tempe, AZ, USA (2020) [Google Scholar]
  23. E. Alpaydin, Introduction to machine learning (Cambridge, MA: MIT Press, 2004) [Google Scholar]
  24. N.T. Boyd, S.A. Gabriel, G.T. Rest, Comput. Oper. Res. 154 (2023) [Google Scholar]
  25. H. Zhou, C. Tian, Z. Zhang, C. Li, Y. Xie, Z. Li, IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens. 15 (2022) [Google Scholar]
  26. H.M. Rouzbahani, H. Karimipour, and L. Lei, Int J. Electr. Power Energy Syst. 146 (2023) [Google Scholar]
  27. J.B. Clempner, A.S. Julio, and A.S. Poznyak, Mathematics 9 (2021) [Google Scholar]
  28. M. Sayin, K. Zhang, D. Leslie, T. Basar, A. Ozdaglar, Adv. Neural Inf. Process. 34 (2021) [Google Scholar]
  29. S. Sengan, V. Subramaniyaswamy, V. Indragandhi, P. Velayutham, L. Ravi, Comput. Electr. Eng. 93 (2021) [Google Scholar]
  30. Z. Hu, K. Wan, X. Gao, Y. Zhai, Math. Probl. Eng. 2019 (2019) [Google Scholar]
  31. X. Ou, Q. Chang, N. Chakraborty, J. Manuf. Syst. 50 (2019) [Google Scholar]
  32. K. Hammar, and R. Stadler, arXiv preprint arXiv:2205.14694 (2022) [Google Scholar]
  33. A. Takiddin, R. Atat, M. Ismail, O. Boyaci, K.R. Davis, E. Serpedin, IEEE Trans. Emerg. Top. Comput. Intell. (2023) [Google Scholar]
  34. T.T. Khoei, G. Aissou, W.C. Hu, N. Kaabouch, Ensemble Learning Methods for Anomaly Intrusion Detection System in Smart Grid, 2021 IEEE International Conference on Electro Information Technology (EIT), 14-15 May 2021, MI, USA (2021) [Google Scholar]
  35. E. Hodo, S. Grebeniuk, H. Ruotsalainen, P. Tavolato, Proceedings of the 12th International Conference on Availability, Reliability and Security, 29 Aug.- 1 Sept. 2017, Calabria, Italy (2017) [Google Scholar]
  36. A.S. Musleh, G. Chen, Z.Y. Dong, C. Wang, S. Chen, Int j. electr. power energy syst. (2023) [Google Scholar]
  37. D. Mukherjee, S. Chakraborty, Real-time Identification of False Data Injection Attack in Smart Grid ,2021 IEEE Region 10 Symposium (TENSYMP), 23-25 Aug. 2021, Jeju, Republic of Korea (2021) [Google Scholar]
  38. X. Li, L. Hu, Z. Lu, Expert Syst. Appl. 238 (2023) [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.