Everything this pipeline and the engine have scored for this authority specifically.
Modelled rows: national-insights-mock v0.1.0 (mock). Scores are rule-based, not learned, and were never fitted or validated against an outcome. Treat the ranking as an indicative prioritisation for further review, not a validated prediction.
100% of the panel affected, 20 findings across 18 households, engine-detected at BHD tariff rates.
→ 18 of 18 households show at least one detected issue (most commonly Overnight / unoccupied-hours waste, 11 instances) — a candidate for a targeted engagement pilot.
2 households in the target segment, 16,890 kWh/yr of inefficient AC cooling between them.
→ Insulation and efficient split/central-AC conversion outreach for ~2 inefficient-AC, poorly insulated homes — modelled at a 25% cooling-spend reduction.
78% of the panel poorly insulated, 22% on inefficient window-unit AC, consumption +5% vs the panel average.
→ Prioritise for a targeted energy-efficiency advice campaign — poor insulation and inefficient window-unit AC compound cooling-cost risk here.
The panel's cohort dimension — dwelling type is known too, but cooling technology is what a national agency tracking AC efficiency and cooling-load risk actually needs. This is the bottom of the drill: no cohort here resolves to a household.
| Cooling cohort | Households | Energy | Cost | kWh / household |
|---|---|---|---|---|
| Split AC | 10 | 140,611 kWh | BD 6,749 | 14,061 |
| Other — 3 group(s) below the disclosure floor of 5 households | 132,991 kWh | BD 6,384 | — | |
Electricity, summed across every household in this authority — the only commodity metered in this panel.
Grouped by finding type across households in this authority only.
| Finding | Households affected | % of panel | Total estimated impact |
|---|---|---|---|
| Overnight / unoccupied-hours waste | 11 | 61.1% | BD 4,928 |
| Sudden step in standing load | 7 | 38.9% | BD 401 |
| Unexplained consumption anomaly | 1 | 5.6% | BD 34 |