1. Siniosoglou, I.; Radoglou-Grammatikis, P.; Efstathopoulos, G.; Fouliras, P.; Sarigiannidis, P.: A unified deep learning anomaly detection and classification approach for smart grid environments. IEEE Trans. Netw. Serv. Manage. 18(2), 1137–1151 (2021)
2. Valuates Reports. Smart grid market size, Online; Accessed 15 Mar 2021 (2020)
3. Tsai, J.-L.; Lo, N.-W.: Secure anonymous key distribution scheme for smart grid. IEEE Trans. Smart Grid 7(2), 906–914 (2015)
4. Odelu, V.; Das, A.K.; Wazid, M.; Conti, M.: Provably secure authenticated key agreement scheme for smart grid. IEEE Trans. Smart Grid 9(3), 1900–1910 (2016)
5. Park, K.; Lee, J.; Das, A.K.; Park, Y.: Bpps: blockchain-enabled privacy-preserving scheme for demand-response management in smart grid environments. IEEE Trans. Depend. Secure Comput., pp. 1–1 (2022)