Analyze consumption trends

Visualizing time series data flowing from hundreds or thousands of points across your building portfolio is nearly impossible without software. Energy consumption data comes from different places—energy bills, utility meters, smart meters, weather information, and much more. Overlaying data from different sources, across spaces, against benchmarks, and at different granularities in a software platform is key to understanding your real-time energy usage and consumption patterns.  

In EnergyCAP SmartAnalytics™, you can visualize and “favorite” all your data in several different graph formats, select the granularity you want to view your data in, compare data, and generate files to share with internal and external stakeholders. Do things like:

• Add temperature overlays to your charts to analyze your data against a target, the average consumption, or remarks.
• Add average and threshold overlays to benchmark consumption against expected use.
• Working hours overlays show you if your energy consumption is acting abnormally outside of work hours.
• Add notes or remarks to highlight abnormal data.
• Select multiple inputs at once to compare across equipment subcomponents, metered equipment, or building spaces. 
• Choose the type of charts and graphs, units, granularity, and timeframe to look at. Then choose to compare to prior time periods.

While all organizations, across every sector, benefit from visualizing and better understanding their energy data, the building energy consumption needs across industries vary greatly. Customized energy consumption analysis means your Smart Meter and data inputs are evaluated to capture the unique energy signature of your building portfolio.

Unlock highly relevant insights that directly address your energy challenges through visualizations. A hospital can focus on analyzing trends in HVAC usage during peak patient hours, while a manufacturing facility prioritizes monitoring energy consumption during production runs. This targeted approach allows you to make data-driven decisions that optimize energy use and maximize cost savings within your specific industry.