All demo datasets

Electric — Small City

Rivertown Electric (synthetic)
Sample data · no sign-up
Aggregation Weather normalization Benchmarking (EUI) Load & demand Seasonal & outdoor use Distribution & inequality Map & clustering Class × time Differential privacy Data quality
Disclosure control Suppression k = 15 1 customer ≤ 15% complementary on
Restore industry minimums
Weather-sensitive
10.6%
cooling-driven
Base load / month
1932932
base consumption
Degree days
2259 HDD
2722 CDD
Fit quality (R²)
0.963
over 12 months

Consumption vs. degree days, by month

energy vs. °F·days

Each point is one month: total consumption against that month's heating + cooling degree days. A steeper rise means more weather-sensitive load.

The model

E = 1932932 + -1298.8356·HDD + 885.8334·CDD

  • Heating slope: -1298.8356 / HDD
  • Cooling slope: 885.8334 / CDD
  • Weather-normalized annual: 22672354
Method: base-65°F degree days (US EIA / NOAA); degree-day regression (ASHRAE Guideline 14; LBNL PRISM).