What a baseline is
A baseline captures a period of stable, well-metered operation. EnerG compares later usage against it for savings, intensity, and compliance reporting. You set baselines at two levels.- Portfolio configurations train weather-normalized models across many buildings at once.
- Building windows set energy, water, and waste reference periods for one site.
Baseline length
Choose a one-year or two-year window based on data stability and reporting policy.
Each category needs at least 12 consecutive months of complete billed data before EnerG accepts a baseline. Partial months or missing commodities disqualify the window until you repair the data.
Why weather matters
Raw year-over-year comparisons punish cold winters and reward mild ones. A building can run efficiently and still post higher usage in a harsh year. Weather normalization removes that noise. EnerG trains a regression model that relates usage to , then adjusts actual usage to a normal-weather equivalent.Degree days and base temperatures
Degree days measure how far outdoor temperature departs from a base temperature each day.- Heating degree days (HDD) accumulate when it is colder than the heating base.
- Cooling degree days (CDD) accumulate when it is warmer than the cooling base.
How normalized comparisons read
A weather-normalized configuration produces four usage figures you compare on the Baseline analysis overview.
Model fit reports as an R-squared value. Configurations below your tolerance flag as low correlation and need review before you trust the numbers.
Next steps
Create baseline configurations
Train weather models and set building baseline windows.
Energy modeling
See how baselines feed M&V savings and forecasts.
Calculations and parameters
Look up weather averages, R-squared tolerance, and base temperature settings.
Baseline analysis overview
Compare baseline, actual, and normalized usage across the portfolio.