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feat(optimization): support a 15-minute optimization interval
The genetic optimizer was hard-wired to an hourly grid and forced
optimization.interval to 3600 s. Generalize it to a configurable slot grid
of length prediction.hours * (3600 / interval), accepting 900 (15 min) in
addition to the default 3600 (1 hour) so the optimizer can schedule on a
quarter-hour grid for 15-minute dynamic electricity tariffs.
- genetic.py: slot_duration_h / slots_per_hour / total_slots helpers; all GA
vectors sized by total_slots; simulate()/evaluate() indexed by start slot.
- geneticparams.py: allow {900, 3600}; scale the load power series to per-slot
energy, mirroring the PV series.
- battery.py / inverter.py: scale power caps to per-slot energy caps via
slot_duration_h; homeappliance.py carries the hook.
- geneticsolution.py: serialize solution and plan on the slot grid (interval
freq, start-slot offset, second-based instruction instants).
The default 3600 s interval keeps the previous hourly behaviour; the genetic
regression suite is unchanged. Adds tests for the 15-minute slot grid.
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@@ -139,17 +139,16 @@ The energy management can be run in three modes:
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Each device simulation run must ensure that all tasks or appliance cycles (e.g., running a
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dishwasher) are completed within the configured time windows.
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- **interval**: Defines the time step in seconds between control actions
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(e.g. `3600` for one hour, `900` for 15 minutes).
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- **interval**: Defines the time step (slot length) in seconds between control actions.
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The genetic algorithm supports `3600` (one hour, the default) and `900` (15 minutes);
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any other value falls back to `3600`. The number of optimization slots is
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`prediction.hours * (3600 / interval)`, and device power caps as well as the solution
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and energy-management-plan serializers are slot-aware.
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:::{warning}
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**Current Limitation**
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At present, the `interval` setting is **not used** by the genetic algorithm. Instead:
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- The control interval is fixed to **1 hour**.
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Support for configurable intervals (e.g. 15-minute steps) may be added in a future release.
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:::{note}
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Use `900` together with a 15-minute electricity price source (for example a dynamic or
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exchange-priced tariff) to let the optimizer schedule on a quarter-hour grid. Keeping the
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default `3600` preserves the previous hourly behaviour.
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:::
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#### Genetic Algorithm Parameters
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