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b93eedf00e
Add `include_current_interval` parameter to `find_cheapest_block` and `find_cheapest_schedule` services, controlling whether the currently active price interval can be the start of the selected window. Add power-profile weighting to `find_cheapest_contiguous_window`: accepts an optional `power_profile` list that weights each interval's price by relative power draw (e.g. heat-up phase heavier than steady state). Without a profile the behaviour is unchanged (uniform weighting). Extend search-range tests and add price-window unit tests covering weighted and unweighted scenarios, edge cases, and sequential scheduling interactions. Update scheduling-actions documentation with parameter and profile examples. Impact: Users can now model appliances with non-uniform power draw (e.g. heat pumps, washing machines) to find truly cheapest windows based on actual energy cost rather than average price. |
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| .. | ||
| __init__.py | ||
| test_connect_segments.py | ||
| test_energy_calculator.py | ||
| test_find_service_responses.py | ||
| test_period_data_format.py | ||
| test_plan_charging.py | ||
| test_power_scheduler.py | ||
| test_search_range.py | ||
| test_sequential_scheduling.py | ||