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98f71d2554
Mirror of eval_api_sap_accuracy.py that decomposes each cert's SAP error into per-component energy/cost deltas WITHOUT generating an Elmhurst worksheet. Calibrates the consumer price from the certs we already get right (gas £0.0809/kWh n=291, elec £0.2839/kWh n=326 over |SAP err|<0.4), then for every cert compares our_component_kWh × price to the lodged heating_cost_current / hot_water_cost_current / lighting_cost_current and back-calculates a numeric energy target (lodged_cost / price). Clusters errors by (component × direction). On the 905-cert sample this reveals heat:high (we over-state heating energy → under-rate SAP) as the dominant broken cluster: 332 certs, only 36.7% within 0.5. Output CSV at <cache>/_cost_decomposition.csv. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com> |
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| .. | ||
| analyse_api_sap_clusters.py | ||
| decompose_api_cost_error.py | ||
| download_cotality_evidence.py | ||
| elmhurst_input_sheet.py | ||
| eval_api_sap_accuracy.py | ||
| fetch_2026_epc_sample.py | ||
| fetch_cohort2_api_jsons.py | ||
| historic_epc_demo.py | ||
| init_db.py | ||
| rename_sharepoint_files.py | ||
| sero_address_list.csv | ||