Tree visualization with tree-maps: 2-d space-filling approach
ACM Transactions on Graphics (TOG)
Choosing effective colours for data visualization
Proceedings of the 7th conference on Visualization '96
Issues in visualizing large databases
Proceedings of the third IFIP WG2.6 working conference on Visual database systems 3 (VDB-3)
Designing Pixel-Oriented Visualization Techniques: Theory and Applications
IEEE Transactions on Visualization and Computer Graphics
Recursive Pattern: A Technique for Visualizing Very Large Amounts of Data
VIS '95 Proceedings of the 6th conference on Visualization '95
Visualizing Time-Series on Spirals
INFOVIS '01 Proceedings of the IEEE Symposium on Information Visualization 2001 (INFOVIS'01)
INFOVIS '01 Proceedings of the IEEE Symposium on Information Visualization 2001 (INFOVIS'01)
Tree-Maps: a space-filling approach to the visualization of hierarchical information structures
VIS '91 Proceedings of the 2nd conference on Visualization '91
Importance-Driven Visualization Layouts for Large Time Series Data
INFOVIS '05 Proceedings of the Proceedings of the 2005 IEEE Symposium on Information Visualization
Hierarchical Temporal Patterns and Interactive Aggregated Views for Pixel-Based Visualizations
IV '09 Proceedings of the 2009 13th International Conference Information Visualisation
The energy dashboard: improving the visibility of energy consumption at a campus-wide scale
Proceedings of the First ACM Workshop on Embedded Sensing Systems for Energy-Efficiency in Buildings
Outlier Detection in Smart Environment Structured Power Datasets
IE '10 Proceedings of the 2010 Sixth International Conference on Intelligent Environments
Visualization of Time-Oriented Data
Visualization of Time-Oriented Data
SAGA: Tracking and Visualization of Building Energy
RTCSA '11 Proceedings of the 2011 IEEE 17th International Conference on Embedded and Real-Time Computing Systems and Applications - Volume 02
Artificial Defocus for Displaying Markers in Microscopy Z-Stacks
IEEE Transactions on Visualization and Computer Graphics
Importance Driven Automatic Color Design for Direct Volume Rendering
Computer Graphics Forum
Following the electrons: methods for power management in commercial buildings
Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining
A visual analytics approach for peak-preserving prediction of large seasonal time series
EuroVis'11 Proceedings of the 13th Eurographics / IEEE - VGTC conference on Visualization
Visual boosting in pixel-based visualizations
EuroVis'11 Proceedings of the 13th Eurographics / IEEE - VGTC conference on Visualization
Towards an understanding of campus-scale power consumption
Proceedings of the Third ACM Workshop on Embedded Sensing Systems for Energy-Efficiency in Buildings
Editorial: Foreword to the special section on visual analytics
Computers and Graphics
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Commercial buildings are significant consumers of electrical power. Also, energy expenses are an increasing cost factor. Many companies therefore want to save money and reduce their power usage. Building administrators have to first understand the power consumption behavior, before they can devise strategies to save energy. Second, sudden unexpected changes in power consumption may hint at device failures of critical technical infrastructure. The goal of our research is to enable the analyst to understand the power consumption behavior and to be aware of unexpected power consumption values. In this paper, we introduce a novel unsupervised anomaly detection algorithm and visualize the resulting anomaly scores to guide the analyst to important time points. Different possibilities for visualizing the power usage time series are presented, combined with a discussion of the design choices to encode the anomaly values. Our methods are applied to real-world time series of power consumption, logged in a hierarchical sensor network.