Privacy-Preserving Smart Energy Management by Consumer-Electronic Chips and Federated Learning
Privacy-Preserving Smart Energy Management by Consumer-Electronic Chips and Federated Learning
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DOI：
10.1109/tce.2023.3343821
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发表时间：
2024-02
影响因子：
4.3
通讯作者：
Huakun Huang;Sihui Xue;Lingjun Zhao;Weizheng Wang;Huijun Wu
中科院分区：
文献类型：
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作者：
Huakun Huang;Sihui Xue;Lingjun Zhao;Weizheng Wang;Huijun Wu
随着消费电子（CE）的发展，基于绿色车联网（IoV）的可再生能源系统引起了人们的极大兴趣。然而，有效的能源管理和高可再生能源效率正面临着重大挑战。为了解决这些问题，虚拟电厂（VPP）的动机，我们提出了一个智能能源管理方案，集成的软件和硬件的优点。特别是，利用电动汽车（EV）和可重新配置的CE芯片，所提出的系统使电动汽车能够自主对电池充电或放电，以智能存储可再生资源产生的剩余电力。然而，这样的系统需要频繁地共享敏感数据（即，EV用户的识别信息、位置等）在控制中心和CE芯片之间，导致隐私问题和通信开销。为此，我们提出了一个联邦EV决策学习（FEVDL）的方法。FEVDL允许EV共享训练模型，而不会泄露敏感数据。与孤立边缘学习相比，FEVDL可以达到约99%的竞争准确率。同时，它分别提高了约4%，15%和25%，在三个具有挑战性的条件下的推理精度。因此，隐私保护的绿色IoV-VPP系统可以有效地将分布式EV电池作为大规模电力存储设施来操作。
With consumer electronics (CE) development, green Internet-of-Vehicles (IoV)-based renewable energy systems have attracted an upsurge in interest. Nonetheless, efficient energy management and high renewable energy efficiency are facing crucial challenges. To tackle such issues, motivated by the virtual power plant (VPP), we propose a smart energy management scheme, integrating the merits of software and hardware. Particularly, leveraging electrical vehicles (EVs) and reconfigurable CE chips, the proposed system enables EVs to autonomously charge or discharge batteries for intelligent storing of surplus electricity generated by renewable resources. However, such a system requires frequent sharing of sensitive data (i.e., EV users’ identification information, locations, etc.) between the control center and CE chips, resulting in privacy issues and communication overhead. For this, we propose a federal EV decision learning (FEVDL) approach. FEVDL allows EVs to share trained models without revealing sensitive data. FEVDL can achieve a competitive accuracy of about 99% compared with isolated edge learning. Meanwhile, it separately improves inference accuracy by about 4%, 15%, and 25% under three challenging conditions. Therefore, a privacy-preserving green IoV-VPP system can efficiently operate the distributed EV batteries as a large-scale power-storage facility.