Matches, Mismatches, and Methods: Multiple-View Workflows for Energy Portfolio Analysis
IEEE Transactions on Visualization and Computer Graphics(2016)
摘要
The energy performance of large building portfolios is challenging to analyze and monitor, as current analysis tools are not scalable or they present derived and aggregated data at too coarse of a level. We conducted a visualization design study, beginning with a thorough work domain analysis and a characterization of data and task abstractions. We describe generalizable visual encoding design choices for time-oriented data framed in terms of matches and mismatches, as well as considerations for workflow design. Our designs address several research questions pertaining to scalability, view coordination, and the inappropriateness of line charts for derived and aggregated data due to a combination of data semantics and domain convention. We also present guidelines relating to familiarity and trust, as well as methodological considerations for visualization design studies. Our designs were adopted by our collaborators and incorporated into the design of an energy analysis software application that will be deployed to tens of thousands of energy workers in their client base.
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关键词
building management systems,buildings (structures),data visualisation,pattern matching,power engineering computing,data characterization,data matches,data mismatches,data semantics,domain convention,energy analysis software application,energy performance,energy portfolio analysis,generalizable visual encoding design,large building portfolios,line charts,multiple-view workflows,task abstractions,time-oriented data,visualization design,work domain analysis,workflow design,Design study,coordinated and multiple views,design methodologies,task and requirements analysis,time series data
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