Lessons on Combining Topology and Geography - Visual Analytics for Electrical Outage Management

Jäger, Alexander; Mittelstädt, Sebastian; Oelke, Daniela; Sander, S. I.; Platz, Axel; Bouwman, Gies; Keim, Daniel A.

doi:10.2312/eurova.20161116

Cited by 1 publication

(1 citation statement)

References 13 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Then the approach is compared in strengths and weaknesses to current (where the papers have different views of what constitutes current) geolocation-based visualization techniques for power grids. A few papers, however, also go on and present a usability [WO00;Jäg+16] or case [Won+09] study. This is done by using either domain experts and measure their performance in fulfilling given tasks or assessing the visualization quality for issue detection (like a cascading blackout) using historical data in the latter case to evaluate the practical significance of the new visualization.…”

Section: Methodsmentioning

confidence: 99%

Towards a Survey of Visualization Methods for Power Grids

Fischer¹,

Keim²

2021

Preprint

Self Cite

View full text Add to dashboard Cite

While many visualization techniques have been developed in recent years, few have been applied to power grid visualization. With the ongoing emergence of smart and distributed grids, it becomes increasingly important to improve and modernize legacy infrastructure. Visualization and simulation of power grids under real-life scenarios can help with and sometimes even discover new approaches and techniques that significantly improve and simplify network analysis, maintenance, and planning. This enables operators to spot key issues which are hard to detect otherwise. Creating visualizations for these problems is challenging as no obvious or trivial solutions exist, and many of them are associated with multi-dimensional data. This paper aims to provide a comprehensive overview of the methods developed for the visualization of power grids while evaluating the advantages and disadvantages of the single approaches.An outlook discusses open research questions and possible further improvements to the field.

show abstract

Section: Methodsmentioning

confidence: 99%