PlagViz

Abstract

We developed a scalable visual analytics framework for managing and analyzing hundreds of geographically distributed photovoltaic systems. These systems deliver performance parameters at different levels as well as environmental parameters. Our web-based framework gathers the data in a central server and allows comparisons of production values across time and photovoltaic systems, analysis of component failures and reporting errors. It is in daily use by a regional energy provider for over one year and its capabilities for fluent interaction and versatile configuration of visualizations from overviews to performance parameters of detailed components of individual systems are highly appreciated.

Publication

Patrick Riehmann , Martin Potthast, Benno Stein, Bernd Froehlich
Visual Assessment of Alleged Plagiarism Cases
COMPUTER GRAPHICS forum ,Volume 34 (2015), Number 3
Presented at EuroVis 2015, Cagliari, Italy, May 2015
Preprint, Video