THE RESULT
What the data shows
The largest computed metric is 190.4 for 18.0; the smallest is 48.24 for 3.0. Metric: mean_wh (Wh per 10-minute interval).
These are interval-energy values, not watts. This household may not represent another building.
| hour | intervals | median wh | mean wh | p90 wh |
|---|---|---|---|---|
| 0 | 822 | 50 | 52.79 | 60 |
| 1 | 822 | 50 | 51.33 | 60 |
| 2 | 822 | 50 | 49.08 | 60 |
| 3 | 822 | 50 | 48.24 | 60 |
| 4 | 822 | 50 | 49.36 | 60 |
| 5 | 822 | 50 | 52.74 | 70 |
| 6 | 822 | 50 | 57.71 | 70 |
| 7 | 822 | 60 | 78.65 | 110 |
| 8 | 822 | 60 | 106.1 | 269 |
| 9 | 822 | 70 | 112.8 | 290 |
| 10 | 822 | 70 | 125.4 | 310 |
| 11 | 822 | 70 | 133.1 | 330 |
THE METHOD
From source to answer
Hour-of-day medians, means and sample counts.
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
Compare actual schedules and occupancy records before proposing load shifting.
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.