Local authorities ranked by the £ impact of findings the engine actually detected, same data as the drill chain.
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.
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 Overnight / unoccupied-hours waste, 10 instances) — a candidate for a targeted engagement pilot.
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 Sudden step in standing load, 11 instances) — a candidate for a targeted engagement pilot.
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.
The same local authorities, ranked by a mocked screening pipeline instead — see the methodology note below before treating this as more than a starting point.
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.
5 households in the target segment, 46,020 kWh/yr of inefficient AC cooling between them.
→ Insulation and efficient split/central-AC conversion outreach for ~5 inefficient-AC, poorly insulated homes — modelled at a 25% cooling-spend reduction.
4 households in the target segment, 33,780 kWh/yr of inefficient AC cooling between them.
→ Insulation and efficient split/central-AC conversion outreach for ~4 inefficient-AC, poorly insulated homes — modelled at a 25% cooling-spend reduction.
4 households in the target segment, 26,190 kWh/yr of inefficient AC cooling between them.
→ Insulation and efficient split/central-AC conversion outreach for ~4 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.
Click a governorate — on the map or in the list — to drill into its local authorities. Every governorate clears the disclosure floor on its own — governorates are never suppressed, only the smaller groups beneath them.
Grouped by finding type across the whole panel. Ranked by how many households it affects, never by which ones.
| Finding | Households affected | % of panel | Total estimated impact |
|---|---|---|---|
| Sudden step in standing load | 84 | 58.3% | BD 7,317 |
| Overnight / unoccupied-hours waste | 60 | 41.7% | BD 24,062 |
| Cooling running outside occupied hours | 5 | 3.5% | BD 415 |
| Unexplained consumption anomaly | 4 | 2.8% | BD 104 |
| Rising standing load (a failing appliance) | 1 | 0.7% | BD 66 |