f5e3c1bcea
SAP 10.2 §12 (PDF p.45 lines 2280-2283):
"The 18-hour tariff is only for use with electric CPSUs with
sufficient energy storage to provide space (and possibly water)
heating requirements for 2 hours. Electricity at the low-rate price
is available for 18 hours per day, with interruptions totalling 6
hours per day, with the proviso that no interruption will exceed 2
hours. The low-rate price applies to space and water heating, while
electricity for all other purposes is at the high-rate price."
SAP 10.2 Appendix F2 (PDF p.63 lines 3809-3812):
"F2 Electric CPSUs using 18-hour electricity tariff. The 18-hour
low rate applies to all space heating and water heating provided
by the CPSU. The CPSU must have sufficient energy stored to provide
heating during a 2-hour shut-off period. The 18-hour high rate
applies to all other electricity uses."
Table 12a Grid 2 omits 18-hour / 24-hour from its 7-hour / 10-hour
table; pre-slice the cascade's `_other_fuel_cost_gbp_per_kwh` fell
through Grid 2's `NotImplementedError` to
`prices.standard_electricity_p_per_kwh` (Table 32 code 30 = 13.19
p/kWh). Per §12 + Appendix F2 the 18-hour rule is explicit fraction =
1.0 at the high rate — pumps, fans, and lighting bill at the 18-hour
high rate (Table 32 code 38 = 13.67 p/kWh).
All 41 heating-systems corpus variants lodge `meter_type='18 Hour'`,
so this gap was cohort-wide. Pre-slice the cascade undercounted
pumps + lighting cost by (13.67 − 13.19) × kWh on every variant:
oil 1 Δcost -£9.31 → -£6.69 (closed £2.62, pumps 265 +
lighting 282 × £0.0048)
oil pcdb 1/2 Δcost -£8.32 → -£6.29 (closed £2.03)
oil pcdb 3 Δcost -£8.91 → -£6.29 (closed £2.62)
pcdb 1 Δcost -£11.10 → -£9.07 (closed £2.03)
ashp Δcost -£5.57 → -£4.22 (closed £1.35, lighting only)
electric 1..9 Δcost shift ~ -£1.35..+£1.35 (lighting only;
storage / room-heater
certs carry pumps_fans
= 0)
solid fuel 4..11 Δcost ~ -£1.55 (lighting only)
gshp Δcost -£26.48 → -£25.12 (closed £1.35)
Pyright net-zero (43 → 43). Extended handover suite: 892 → 893 pass.
Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
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|---|---|---|
| .devcontainer | ||
| .github/workflows | ||
| .idea | ||
| .vscode | ||
| applications | ||
| asset_list | ||
| backend | ||
| backlog | ||
| datatypes | ||
| deployment/terraform | ||
| docs/adr | ||
| domain | ||
| epr_data_exports | ||
| etl | ||
| infrastructure | ||
| model_data/requirements | ||
| orchestration | ||
| recommendations | ||
| repositories | ||
| scripts | ||
| sfr/principal_pitch | ||
| survey_report | ||
| tests | ||
| utilities | ||
| utils | ||
| .coveragerc | ||
| .dockerignore | ||
| .gitignore | ||
| __init__.py | ||
| ara_backend_design.md | ||
| BaseUtility.py | ||
| CLAUDE.md | ||
| conftest.py | ||
| CONTEXT.md | ||
| devcontainer.sh | ||
| Dockerfile.test | ||
| Dockerfile.test.dockerignore | ||
| Makefile | ||
| MEMORY.md | ||
| package-lock.json | ||
| package.json | ||
| pyproject.toml | ||
| pyrightconfig.json | ||
| pytest.ini | ||
| README.md | ||
| run_lambda_local.sh | ||
| serverless.yml | ||
| test.requirements.txt | ||
| tox.ini | ||
| UBIQUITOUS_LANGUAGE.md | ||
Model Repository
This repository contains the code pertaining to the development of the data science and machine learning products being utilised by Hestia.
The different folders in this repository relate to services that can be used independently, or can be imported and used as part of a larger application
Getting Started
Prerequisites
Dev Container Setup
This repo uses a Docker Compose-based dev container. The model-backend service joins a shared-dev Docker network so it can communicate with other local services (e.g. a frontend container) running on your machine.
VS Code users: The initializeCommand in devcontainer.json creates the shared-dev network automatically before the container starts. No manual step required — just open the repo and select Reopen in Container.
Non-VS Code / CI workflows: Run the following once before starting the container:
make dev-setup
This is idempotent and safe to re-run if the network already exists.
Folders
backend/
This folder contains the code for the fastapi backend service, which provides an interface to much of the functionality in this repository, for the frontend
model_data/
This folder contains related to the reading and preparation of assessment model data, including pulling out epc attributes
Testing
All tests can be run, against the configuration in pytest.ini running
pytest
This will run the complete panel of tests and report on coverage in the locations specified by the pytest.ini file.
To run tests in a specific service, e.g. inside of model_data, simply run
pytest --cov-config=model_data/.coveragerc --cov=model_data
This will produce the test results and coverage reports