TWC: TTP Option: Small: Collaborative: Integrated Smart Grid Analytics for Anomaly Detection

现代化的电网，即智能电网，在发电，输电和配电方面集成了双向通信技术，以高效，安全和经济地提供电力。在监测和控制方面，它采用基于消息的高级计量基础设施（AMI）提供的实时监测，确保电网的稳定性和可靠性，以及有效实施需求响应计划，以缓解突发需求。这些功能的有效实现带来了许多挑战，但也为工程、网络和数据分析领域的技术发展带来了机遇。智力贡献包括开发一个框架，该框架包含快速信号处理和机器学习算法，以及多传感器信息，以评估网络的健康状况。具体来说，这项研究将调查算法的自适应检测流，高维和潜在的缺失值数据。此外，该项目将通过行业合作者和电力供应商提供一个全面的经验评估与真实世界的数据;这包括一个开源的概念验证原型，用于快速推断家庭区域网络中的恶意活动，以及一个基于云的测试平台，用于检查广域环境中的现实场景。

The modernized electric grid, the Smart Grid, integrates two-way communication technologies across power generation, transmission and distribution, in order to deliver electricity efficiently, securely and cost-effectively. On the monitoring and control side, it employs real-time monitoring offered by a messaging-based advanced metering infrastructure (AMI), which ensures the grid's stability and reliability, as well as the efficient implementation of demand response schemes to mitigate bursts demand. The efficient implementation of these features presents a number of challenges, but also opportunities for technology development in engineering, networking, and data analytics.The intellectual contributions include the development of a framework that encompasses fast signal processing and machine learning algorithms, together with multi-sensor information to assess the health of the network. Specifically, the study will investigate algorithms for adaptive detection over streaming, high-dimensional and potentially missing value data. Furthermore, the project, via industry collaborators and power provisioners, will provide a comprehensive empirical evaluation with real-world data; this includes an open-source proof-of-concept prototype for quickly inferring nefarious activity in home-area networks, and a cloud-based testbed for examining realistic scenarios in a wide-area setting.