This chapter first introduces, from a complex adaptive system point of view, how the value of
new information can be measured in terms of the degree of structural variation it potentially …

Recent work, using electrical distance metrics and concepts from graph theory, has revealed
important results about the electrical connectivity of empiric power systems. Such structural …

Energy demand-side management, especially empowered by the fine-grained smart meter
data, plays a significant role in the rational allocation of energy, monitoring and supervision …

Graph visualization is an important field in information visualization that is centered on the
graphical display of graph-structured data. Yet real world data is rarely just graph-structured …

We present a system to analyze time‐series data in sensor networks. Our approach supports
exploratory tasks for the comparison of univariate, geo‐referenced sensor data, in particular …

Power grids are often run near the operational limits because of increasing electricity
demand, where even small disturbances could possibly trigger major blackouts. The attacks …

The paper presents the use of geographic data views (GDVs) to help improve large-scale
electric grid situational awareness for power flow and time-domain simulations. GDVs are …

This article is a product of a workshop on the Future of Visual Analytics, held in Washington,
DC on 4 March, 2009. Workshop attendees included representatives from the visual …

The electrical generator data across the United States with a minimum capacity of one
megawatt is publicly accessible via the US Energy Information Administration form 860 (EIA …

Visualization is an established methodology in scientific computing. It has been used in
many fields because of its strong capability in large data management and information …