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

现代化的电网，即智能电网，集成了发电、输电和配电的双向通信技术，以高效、安全和经济的方式输送电力。在监控方面，它采用了基于消息传递的先进计量基础设施提供的实时监控，确保了电网-S的稳定性和可靠性，以及需求响应方案的有效实施，以缓解突发需求。这些功能的有效实施带来了许多挑战，但也为工程、网络和数据分析方面的技术发展带来了机遇。这些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，以及评估网络健康状况的多传感器信息。具体地说，这项研究将研究对流数据、高维数据和潜在缺失值数据进行自适应检测的算法。此外，该项目将通过行业合作者和电力供应者，利用真实世界的数据提供全面的经验评估；其中包括用于快速推断家庭区域网络中的恶意活动的开源概念验证原型，以及用于检查广域环境中现实场景的基于云的试验台。

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.