What M&V confirms
confirms that reported savings reflect real performance. It documents savings for audits, incentives, and internal governance. EnerG trains a model on a baseline period, then compares later usage against the model’s adjusted baseline: what the building would have used without the measure, under the same conditions.IPMVP options
offers several options. EnerG supports two.
Option B isolates a single system when metering separation is strong. Option C reads the whole-building signal when boundary-level bills represent performance.
Meter types for modeling
You build models from two meter types.- Utility bill meters provide monthly granularity from billing periods.
- Interval meters provide hourly or 15-minute granularity for finer load shapes.
Drivers and model fit
Models regress energy against drivers so you separate real savings from noise. Common drivers include weather (degree days), occupancy, and interval-of-week patterns. EnerG reports fit with three accuracy metrics.
A model that falls below your thresholds flags as not acceptable. Widen the baseline, adjust variables, or improve meter completeness before you rely on it. See Calculations and parameters for typical thresholds.
Forecasting
Forecasting projects future consumption from trained models. It extends past performance forward using the drivers you trained, such as weather. You link forecasts to capital planning measures so projected use supports funding decisions and scenario work.Next steps
Create an M&V model
Configure meters, baselines, and drivers to train a savings model.
M&V analysis
Read savings, charts, and accuracy metrics after a run completes.
Forecasting
Project one to 12 months of consumption from trained models.
Baselines and weather
Review how baseline windows and weather models set the reference.