A secure paillier cryptosystem based privacy-preserving data aggregation and query processing models for smart grid
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Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s10586-024-04350-5.pdf
Reference43 articles.
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3. Gai, K., Yulu, W., Zhu, L., Lei, X., Zhang, Y.: Permissioned blockchain and edge computing empowered privacy-preserving smart grid networks. IEEE Internet Things J. 6(5), 7992–8004 (2019)
4. Wang, Y., Chen, Q., Hong, T., Kang, C.: Review of smart meter data analytics: applications, methodologies, and challenges. IEEE Trans. Smart Grid 10(3), 3125–3148 (2018)
5. Kumar, J., Gupta, R., Saxena, D., Singh, A.K.: Power consumption forecast model using ensemble learning for smart grid. J. Supercomput. 79, 11007–11028 (2023)
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