PROJECT TITLE :

Matches, Mismatches, and Methods: Multiple-View Workflows for Energy Portfolio Analysis

ABSTRACT:

The energy performance of enormous building portfolios is challenging to analyze and monitor, as current analysis tools aren't scalable or they present derived and aggregated knowledge at too coarse of a level. We conducted a visualization design study, beginning with a radical work domain analysis and a characterization of information and task abstractions. We tend to describe generalizable visual encoding style selections for time-oriented data framed in terms of matches and mismatches, with considerations for workflow style. Our designs address many research questions regarding scalability, view coordination, and therefore the inappropriateness of line charts for derived and aggregated data thanks to a mixture of knowledge semantics and domain convention. We tend to also gift pointers regarding familiarity and trust, as well as methodological considerations for visualization style studies. Our styles were adopted by our collaborators and incorporated into the design of an energy analysis software application that can be deployed to tens of thousands of energy staff in their client base.