Ranked by estimated annual impact, across local authorities in this region only.
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, 21 findings across 18 households, engine-detected at BHD tariff rates.
→ 18 of 18 households show at least one detected issue (most commonly Sudden step in standing load, 13 instances) — a candidate for a targeted engagement pilot.
100% of the panel affected, 19 findings across 18 households, engine-detected at BHD tariff rates.
→ 18 of 18 households show at least one detected issue (most commonly Sudden step in standing load, 13 instances) — a candidate for a targeted engagement pilot.
3 households in the target segment, 21,540 kWh/yr of inefficient AC cooling between them.
→ Insulation and efficient split/central-AC conversion outreach for ~3 inefficient-AC, poorly insulated homes — modelled at a 25% cooling-spend reduction.
3 households in the target segment, 21,540 kWh/yr of inefficient AC cooling between them.
→ Insulation and efficient split/central-AC conversion outreach for ~3 inefficient-AC, poorly insulated homes — modelled at a 25% cooling-spend reduction.
72% of the panel poorly insulated, 33% on inefficient window-unit AC, consumption -6% vs the panel average.
→ Prioritise for a targeted energy-efficiency advice campaign — poor insulation and inefficient window-unit AC compound cooling-cost risk here.
72% of the panel poorly insulated, 22% on inefficient window-unit AC, consumption -12% vs the panel average.
→ Prioritise for a targeted energy-efficiency advice campaign — poor insulation and inefficient window-unit AC compound cooling-cost risk here.
Ranked by energy. Click through for the cooling-technology cohort breakdown — the bottom of this drill chain; there is no household-level view beneath it.
Grouped by finding type across households in this region only.
| Finding | Households affected | % of panel | Total estimated impact |
|---|---|---|---|
| Sudden step in standing load | 24 | 66.7% | BD 2,342 |
| Overnight / unoccupied-hours waste | 12 | 33.3% | BD 4,885 |
| Rising standing load (a failing appliance) | 1 | 2.8% | BD 66 |
| Unexplained consumption anomaly | 1 | 2.8% | BD 23 |