Abstract
Smart grids allow real-time monitoring and management of electricity usage, etc. to meet the varying demands of end users. In this paper, we propose an efficient data aggregation scheme in privacy-preserving smart grid communications. Specifically, users in our scheme can be divided into several groups of any size according to different criteria (e.g. geographic regions and desired features), and the control center (e.g. government, utility provider) can obtain real-time electricity usage information of each group in a privacy-preserving manner. This allows control center to conduct fine-grained analysis and make informed decisions.
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Acknowledgement
The work was supported in part by the NSFC-Zhejiang Joint Fund for the Integration of Industrialization and Informatization under Grant No. U1509219, the Shanghai Natural Science Foundation under Grant No. 17ZR1408400, the National Natural Science Foundation of China under Grant No. 61632012, and the Shanghai Sailing Program under Grant No. 17YF1404300.
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Pan, B., Zeng, P., Choo, KK.R. (2018). An Efficient Data Aggregation Scheme in Privacy-Preserving Smart Grid Communications with a High Practicability. In: Barolli, L., Terzo, O. (eds) Complex, Intelligent, and Software Intensive Systems. CISIS 2017. Advances in Intelligent Systems and Computing, vol 611. Springer, Cham. https://doi.org/10.1007/978-3-319-61566-0_63
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DOI: https://doi.org/10.1007/978-3-319-61566-0_63
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