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Filtering to define peer groups

The user can filter the data at any point by building type (62 options for the California [CEUS] peer group and 56 options for the US [CBECS] peer group), location, vintage, floor area, and/or size. The user can describe portfolios of buildings and evaluate them individually or in aggregate. EnergyIQ speeds the user’s path to useful results by allowing the user to visually browse a wide variety of metrics and visualizations generated dynamically based on the peer-group data via the web interface.

By filtering the datasets to filters that most fit the user’s building, users can obtain a benchmark that realistically fits their building. Some users may find that there are only a few buildings in their peer group if filtering is too narrow. Attached is a matrix of available buildings based on filters.

Unknown user,
Jun 6, 2011, 2:47 PM