Guobin Xu

TL;DR: The authors' evaluation data show that novel false data injection attacks against the energy routing process can effectively disrupt the effectiveness of energy distribution process, causing significant supplied energy loss, energy transmission cost and the number of outage users.

TL;DR: Evaluation results show that integrating distributed energy resources conjointly with energy storage devices can reduce generation costs, smooth the curve of bulk power generation over time, reduce bulk power Generation and power distribution losses, and provide a sustainable service reliability to users in the power grid.

TL;DR: Empirical data indicates that the proposed network monitoring and threat detection system can efficiently monitor network activities, find abnormal behaviors, and detect network threats to protect critical infrastructure systems.

TL;DR: This paper presents a parallel cloud based threat detection that integrates both signature- based detection and anomaly-based detection and discusses the attack scene analysis based on spatiotemporal correlation and visualization schemes to analyze, trace, and visualize abnormal behaviors.

TL;DR: A Lagrangian-based approach is developed to transform the global optimization conducted by the power company into distributed optimization problems to obtain explicit energy consumption, supply, and price decisions for individual participants, which shows that the real-time pricing scheme could effectively guide the participants to achieve welfare maximization.