Visual Analysis of a Smart City’s Energy Consumption

Abstract

Through the use of open data portals, cities, districts and countries are increasingly making available energy consumption data. These data have the potential to inform both policymakers and local communities. At the same time, however, these datasets are large and complicated to analyze. We present the activity-centered-design, from requirements to evaluation, of a web-based visual analysis tool to explore energy consumption in Chicago. The resulting application integrates energy consumption data and census data, making it possible for both amateurs and experts to analyze disaggregated datasets at multiple levels of spatial aggregation and to compare temporal and spatial differences. An evaluation through case studies and qualitative feedback demonstrates that this visual analysis application successfully meets the goals of integrating large, disaggregated urban energy consumption datasets and of supporting analysis by both lay users and experts.

Natural language interactions enhanced by data visualization to explore insurance claims and manage risk

“…[4,32,37,48,26]. It enables researchers to gain better insights and to inform decision-maker through the analysis of large scale dataset [11,51,25]. Moreover, it expedites knowledge and provides evidence for improved outcomes [29].…”