THE RESULT
What the data shows
The largest computed metric is 1 for 1.0; the smallest is 0.06947 for 0.01. Metric: energy_share (Share of appliance energy).
High observed load is not necessarily waste or shiftable demand.
| top interval fraction | intervals | energy share |
|---|---|---|
| 0.01 | 198 | 0.06947 |
| 0.05 | 987 | 0.2373 |
| 0.1 | 1,974 | 0.3708 |
| 0.2 | 3,947 | 0.5068 |
| 0.5 | 9,868 | 0.7551 |
| 1 | 19,735 | 1 |
THE METHOD
From source to answer
Rank intervals by appliance Wh and compute concentration at prespecified fractions.
The Python source exposes this study’s transformations. The complete project download includes shared preparation and evaluation routines.
THE NEXT DECISION
What follows from the finding
Investigate the appliances responsible for high-load intervals before estimating flexible energy.
Where the conclusion stops
Measurements come from one home over a limited period. Energy is Wh per recorded 10-minute interval. This is not a representative household sample; tariffs and occupancy labels are unavailable.
Related studies may reuse observations or holdouts. These are historical analyses; associations and backtests do not demonstrate commercial impact. Further model tuning needs new, untouched evaluation data.