All demo datasets

Electric — Metro

Capital Metro Power (synthetic)
Guided tour Sample data · no sign-up
Aggregation Weather normalization M&V savings Benchmarking (EUI) Load & demand Seasonal & outdoor use Distribution & inequality Energy burden Map & clustering Class × time Differential privacy Data quality
Disclosure control Suppression k = 15 1 customer ≤ 15% complementary on Methods & formulas
Restore industry minimums
Median load factor
0.271
across 1500 buildings
Coincident peak
32632
kW · hour 15:00
Coincidence factor
0.221
of 147886 kW individual
Diversity factor
4.53
1 ÷ coincidence factor

Peak demand by hour of day

Customer peaks summed into their peak hour; the tallest bar is the system coincident peak. Different classes peak at different times.

Load factor by class

Class Buildings p25 Median p75
RESIDENTIAL 1202 0.198 0.261 0.299
COMMERCIAL 250 0.324 0.388 0.438
INDUSTRIAL 48 0.448 0.511 0.554
Load factor: utility load research; NREL UMP. Coincidence/diversity: NREL UMP Ch.10; BPA M&V. Small classes withheld (k-anonymity).