Whole-building meter faults
What the utility meter alone can prove.
Eleven rules that need nothing but interval meter data and a calendar. They find the building that never really shuts down, baseload that creeps up year over year, weekends that look like weekdays, and demand peaks that should not have happened. Because they are priced from the meter itself, their savings are the easiest to defend.
How to read it. Seven days of whole-building demand from the utility meter. Grey blocks are the hours the building is scheduled to be occupied. On two evenings the load stays high long after the schedule ends: that red area is energy paid for while the building was empty.
The rules
- MET-01
Excessive night / weekend baseload
Baseload power during unoccupied hours is higher than expected for the building's size and type.
Measured at the meterMeter data - MET-02
Baseload creeping up over time
The minimum nightly demand has been trending upward across the analysis window.
Measured at the meterMeter data - MET-03
After-hours operation
Building demand is well above baseload during hours the schedule says it should be off.
Measured at the meterMeter data - MET-04
Weekend load shape looks like a weekday
Saturday and Sunday demand profiles look almost identical to weekday profiles, despite no occupancy.
Measured at the meterMeter data - MET-05
Anomalous peak demand event
A measured peak demand interval is far above what historical demand for that calendar position would predict.
Measured at the meterMeter data - MET-06
Weather sensitivity has changed
The building's response to outdoor temperature (kWh per degree-day) has shifted from its historical baseline.
Measured at the meterMeter data - MET-07
Heating + cooling fuel signature overlap
Gas (heating) and electric (cooling) consumption both rise across a shoulder-season period when only one should be active.
Measured at the meterMeter data - MET-08
Anomalous daily load shape
One or more days have a load shape that doesn't fit any of the building's normal day-type clusters.
Diagnostic · data qualityMeter data - MET-09
Sudden step change in baseline
Baseload demand jumped discontinuously up or down on a specific date and didn't return.
Measured at the meterMeter data - MET-10
Meter data integrity issue
The interval data has gaps, frozen values, or implausible jumps that suggest a meter or telemetry problem rather than building behavior.
Diagnostic · data qualityMeter data - MET-11
Lighting on after hours
The lighting submeter runs well above its normal unoccupied level outside the occupancy schedule.
Measured at the meterMeter data
What is after-hours operation costing?
Estimate the energy paid for while the building should be off.
Enter positive numbers to see an estimate.
Excess load above the night-time floor, times the hours it persists each week, times your rate. Energy Agent measures both the excess and the hours from the meter.
Screening estimate. Energy Agent measures the real fault hours and load from your trends and prices them at your tariff.
See these rules run on your building.
Send twelve months of interval data and a BAS trend export. Energy Agent returns a ranked list of what is wasting money, what each item is worth per year at your tariff, and what to do about it.