Julian Pawlowski b93eedf00e feat(services): add power-profile-weighted window selection ... 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.		2026-05-03 22:16:08 +00:00
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__init__.py	feat(utils): add coefficient of variation (CV) calculation	2025-12-22 23:21:38 +00:00
average.py	feat(sensors): always show both mean and median in average sensor attributes	2025-12-18 15:12:30 +00:00
price.py	fix(periods): separate smoothed levels from period detection	2026-05-03 19:40:34 +00:00
price_window.py	feat(services): add power-profile-weighted window selection	2026-05-03 22:16:08 +00:00