Collect meter readings
Acquisition method and frequency will be verified against meter models, settings and connectivity.
Sample interval consumption
Consumption varies across seasons, occupancy and spa operations, making anomalies hard to spot without time series.
Following compatibility checks, consumption views can be proposed for available meters and periods.
Berkeley Lab / DOE found a median 3% annual saving for Energy Information Systems combined with active energy management. The 9% median concerned more advanced fault detection and diagnostics (FDD), which we do not promise for the MeasureIt meter overview.
View source ↗ — Berkeley Lab (2020), Proving the Business Case for Building AnalyticsAcquisition method and frequency will be verified against meter models, settings and connectivity.
Proposed consumption trends with clear units and a distinction between cumulative readings and interval consumption.
In a pilot, we assess data quality and whether abnormal-value alerts are appropriate. The scope will be confirmed together.
We do not promise universal compatibility. The exact model, protocol, configuration, permissions and encryption must be verified.
This depends on the meter and communications infrastructure. We establish the interval through testing rather than promising “real time” everywhere.
Not yet. This is a replaceable illustration with sample figures. We can later use an approved anonymised screenshot.
Tell us what you need to solve. We'll plan the next step together.