Operational variance charts identify drift

This operational variance graph and associated heatmap is only available for Meter data.

Just like the startup and shutdown times identified on your meter’s Energy use – History summary table, Snapmeter’s algorithm looks closely at your daily load curve to find the point where it starts to ramp up and also down for the day. While not exact every day, overall this method is exceptionally good at spotting shifts.

Daily load curve graph

Each day of the year is represented by a square on the heatmap below: click any square and that day’s interval data will be traced on the graph. Scroll along the load curve for an interval-by-interval reading.   

Isolated operational metric heatmaps

Early startup: Based on the average startup time for the trailing twelve months, as displayed on the TTM metrics tab. A blue square is later in the day, a red square is earlier.

Late shutdown: Based on the average shutdown time for the trailing twelve months, as displayed on the TTM metrics tab. A blue square is earlier in the day, a red square is later.  

Elevated baseload: Based on the current baseload kW benchmark for the meter, as displayed on the TTM metrics tab. Elevated baseload kWh values are only calculated during off hours. A blue square is a decrease below baseload, a red square is above.

0 replies on “Operational variance charts identify drift”

You may also be interested in...

What methodology is used for Measurement and Verification (M&V)?
What methodology is used for Measurement and Verification...

The Gridium Measurement and Verification model and associated calculations are based upon a Time of Week and Temperature (TOWT) model, originally developed by Lawrence Berkeley National Laboratory (LBNL) and implemented in the open source library “nmecr”. The TOWT model is…

Managing demand alerts
Managing demand alerts

Gridium's demand alerts monitor your building's energy usage against a set threshold, and alert you when demand exceeds your target.

Budget forecasts
Budget forecasts

Gridium uses historical data from your buildings to forecast future energy use and costs. However, the past isn't a perfect guide to the future. You can use the Gridium budget forecast as is, without further modification, or you can treat…