In the smart grid and big data environment, accurate and large amount of power load data for users can be obtained with the wide application of non-intrusive load monitoring technology. In the research process of customers’ information, information security protection of users’ electricity data has become a research hotspot urgently. This article proposes a new type of load decomposition method for electric vehicle load information and compares it with hidden Markov model algorithm to verify its accuracy. On this basis, the elliptic curve encryption algorithm is used to encrypt the users’ electricity data, and the function and effectiveness of the encryption algorithm are verified by comparing the load decomposition of the electric vehicle with the unencrypted data.

中文翻译：

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基于椭圆曲线加密的电动汽车等用户用电数据信息安全研究

在智能电网和大数据环境下，通过非侵入式负荷监测技术的广泛应用，可以为用户获取准确、海量的电力负荷数据。在对用户信息的研究过程中，用户用电数据的信息安全保护已成为亟待研究的热点。本文提出了一种新型的电动汽车负荷信息负荷分解方法，并与隐马尔可夫模型算法进行对比验证其准确性。在此基础上，采用椭圆曲线加密算法对用户用电数据进行加密，通过电动汽车负荷分解与未加密数据的对比，验证了加密算法的功能和有效性。