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Cover the active batteries' overflow from standby in efficiency mode - #751

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@tomquist tomquist commented Oct 26, 2026 •

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Why

In efficiency mode (MIN_EFFICIENT_POWER), the idle batteries stay at 0 W even when the running battery can't deliver what the house needs: at its power limit, full or empty, or a B2500 that can't charge from a surplus. The rest is imported or exported, although another battery sits idle. That is why the docs capped MIN_EFFICIENT_POWER at about 40 % of a battery's power limit, and why a strict priority order (discussion #741: one battery takes what it can, the other only the overflow) could not be set up without a remainder on the grid.

The idle batteries now act as a standby reserve, with no new setting:

  • A standby battery stays at exactly 0 W while the batteries ahead of it can cover the demand.
  • Once every battery ahead is out of room in the demand's direction (at its learned ceiling, saturated, or DC-only under a surplus) and the grid still shows demand, the next standby joins and takes only the overflow. Further standbys join one at a time, in rotation order.
  • When demand falls, the battery that joined last gives back first, down to 0 W and never past it, so batteries don't charge each other.
  • Hysteresis keeps a head hovering at its ceiling from toggling the standby: join margin 25 W, stay margin 50 W, a 10 s hold while a spiller still carries power, and a 30 W give-back deadband.
  • Re-decided on every call, before the probe and fade handoffs, so a meter repeating its reading still hands an emptied battery's load over.

Breaking change: a 0 % Efficiency Window Weight used to park a battery while the others could cover. It now makes the battery a backup: it never leads, but covers what the others can't. To keep a battery out entirely, set its Distribution Weight to 0 or switch it inactive. The changelog and docs say so.

Two adjustments to the saturation swap keep the reserve doing the work:

  • The swap no longer promotes a 0 % window battery, which _sync_pool sank straight back.
  • Under a surplus it no longer picks a DC-only battery.

A joining standby also gets a 20 s saturation grace, so a B2500 isn't scored as saturated before it can start.

Python and C++ change together; the steer log names a spilling battery rotation=overflow on both.

Verification

Steering evaluation, 5 seeds, #745's head vs this branch:

  • 39 of 44 scenarios are identical, including every /fair and every pre-existing /eff scenario.
  • No guardrail regressions; mean cost_regret_ct goes from 1.60 to 1.25.
Scenario cost_regret_ct avoidable import avoidable export
priority_pair 7.38 → 5.33 406 → 278 Wh 157 → 171 Wh
priority_fill_then_serve 9.50 → 3.53 711 → 217 Wh 92 → 108 Wh
mixed_power_limits/eff1200 12.16 → 5.68 611 → 311 Wh 91 → 116 Wh
b2500_head_venus/eff1200 1.95 → 1.31 88 → 60 Wh 276 → 58 Wh
  • empty_heads_rotation/eff and repeating_meter_empty_head/eff hold their baselines; test_repeating_meter_scenario_hands_the_load_over still passes.
  • Costs: export rises a little in three scenarios, because the batteries now covering a load must ramp down when it drops, where the base imported that overflow. Battery travel is up 12–45 %, because the standby now moves.
  • Remaining gap: the reserve doesn't close the gap to running all batteries together. With MIN_EFFICIENT_POWER=0, priority_pair scores 3.08 regret and 157 Wh import, against 5.33 and 278 here. The rest is mostly the handover lag: a standby starts from 0 W only once the batteries ahead are at their limit.

Tests:

  • 13 Python tests in tests/test_balancer_standby_reserve.py and 10 C++ host gtests.
  • Parity harness: 5 named closed-loop streams that assert the reserve engaged, plus 16 fuzzed fleets with ceilings, window weights including 0, faults and a slow meter.
  • uv run ruff format --check . && uv run ruff check . && uv run mypy src/ are clean. The full uv run pytest has no failures. Its gtest wrappers can't download googletest in the sandbox, so I built those binaries against a local googletest copy instead; all 10 CT002 binaries pass, the balancer's 57 tests included.

Known Python/C++ divergence: this predates the change. The grid predictor leaves ~1e-8 W residues in Python where the C++ float maths gives exactly 0, so long noiseless streams diverge even on develop. The recorded parity streams use a few watts of meter noise.

Checklist

  • Base branch is develop, not main
  • uv run ruff format . && uv run ruff check . && uv run mypy src/ && uv run pytest
  • Python ↔ ESPHome parity held for shared CT002 behaviour, or does not apply (CONTRIBUTING.md)
  • web/ changes: does not apply
  • User-visible change: one bullet under ## Next in CHANGELOG.md

Generated by Claude Code

Summary by CodeRabbit

  • New Features
    • Standby batteries can cover demand that active batteries cannot meet when they reach their power limits or are full or empty. They stay idle until needed and give back their contribution first as demand falls.
    • Set Efficiency Window Weight to 0% to keep a battery in backup reserve. Set Distribution Weight to 0 or make it inactive to exclude it.
  • Documentation
    • Updated the efficiency-mode, battery-priority, and Home Assistant/MQTT guidance to explain standby behavior and related settings.

tomquist and others added 4 commits October 26, 2026 21:31
In efficiency mode a battery outside the active set (faded fully out,
including a 0 % efficiency window weight sunk to the tail) now stays at
exactly 0 W only while the batteries ahead of it can cover the demand.
Once every one of them is out of headroom in the demand's direction (at
its learned ceiling, saturated, or DC-only under a surplus), standby
batteries take the overflow one at a time in rotation order, DC-only
ones passed over under a surplus, and give it back last in, first out,
down to 0 W and never past it.

- Decided on every call (_update_spill), not cached on the meter-derived
  sample id, so a meter repeating its reading still hands an emptied head
  over.  Joining takes the ceiling margin, staying twice that; a spiller
  still carrying power is held SPILL_RELEASE_SECONDS after the head
  regains headroom; errors under SPILL_UNLOAD_DEADBAND_W against the spill
  direction are not unloaded from the standby first.
- Decided before the probe and fade returns: during a probe a spiller
  holds its output (giving back only a real drop) and the probe splits the
  demand without it; during a fade it is the integrator.  Spillers are
  never zeroed by the fade path.
- Spillers join the share math with SPILL_WEIGHT per rank via
  _share_weight (C++: a per-tick scale map, no report copies); a battery
  ahead that is saturated or charge-blind is capped where it stands.
- A joining standby gets a SPILL_JOIN_GRACE_SECONDS saturation grace, so a
  slow starter (B2500) is not capped at its idle output.
- The saturation swap stays; it no longer promotes a 0 % window battery
  (sync_pool sank it straight back and hid the empty head behind a fresh
  grace) or a DC-only battery under a surplus (a probe it cannot pass).
- Spill state is cleared in remove_consumer, detach_from_auto_pool and
  force_rotation; the steer log names a spiller rotation=overflow.
- Nothing changes with MIN_EFFICIENT_POWER at 0: every /fair evaluation
  scenario, and every existing /eff one, is bit-identical.

Mirrored in esphome/components/ct002/balancer.{h,cpp}, with host gtests
and closed-loop parity streams (5 named, 16 fuzzed) in
test_balancer_parity.py.

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01RMeNgVHswJWLUPGtD23w8w
The idle batteries in efficiency mode now cover what the running ones
can't, so MIN_EFFICIENT_POWER no longer has to fit under a battery's power
limit, and a 0 % Efficiency Window Weight makes a battery a backup instead
of keeping it out.  Describe both in ct002.md (with a short recipe for a
strict priority order), mqtt-insights.md and the FAQ, name Distribution
Weight 0 and the Active switch as the ways to keep a battery out, and add
the changelog entry.

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01RMeNgVHswJWLUPGtD23w8w
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01RMeNgVHswJWLUPGtD23w8w
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01RMeNgVHswJWLUPGtD23w8w
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Walkthrough

The Python and C++ balancers now allocate unmet demand to standby batteries when higher-priority batteries lack headroom. The changes add reserve selection, spill allocation and release behavior, saturation-swap rules, tests, and updated efficiency-mode documentation.

Changes

Standby reserve behavior

Layer / File(s) Summary
Reserve state and selection
src/astrameter/ct002/balancer.py, esphome/components/ct002/balancer.h, esphome/components/ct002/balancer.cpp
Both balancers add reserve state and tuning values. They identify headroom limits, select eligible standby batteries in priority order, and clear reserve state when consumers leave or rotation is forced.
Spill allocation and steering
src/astrameter/ct002/balancer.py, esphome/components/ct002/balancer.cpp
Standby batteries take overflow after batteries ahead lack headroom. The balancers apply spill-adjusted shares, handle probes and fades, unload spillers in reverse order, and prevent targets from crossing zero.
Saturation and priority rules
src/astrameter/ct002/balancer.py, esphome/components/ct002/balancer.cpp
Saturated-battery replacement considers battery reports and grid demand. It excludes certain zero-weight and non-AC-chargeable candidates.
Closed-loop reserve validation
tests/components/ct002/host_balancer_test.cpp, tests/components/ct002/test_balancer_parity.py, tests/test_balancer_standby_reserve.py, tests/test_balancer_efficiency_window_weight.py
Tests cover reserve handoffs, overflow return, probes and fades, release timing, cleanup, logging, and Python/C++ parity in deterministic and randomized streams.
Efficiency mode documentation
CHANGELOG.md, docs/ct002.md, docs/faq.md, docs/mqtt-insights.md, esphome/components/ct002/ct002.h, esphome/components/ct002/ha_discovery.cpp, src/astrameter/ct002/ct002.py, src/astrameter/mqtt_insights/discovery.py
Documentation and comments describe zero Efficiency Window Weight as standby behavior and distinguish it from a zero Distribution Weight or an inactive battery.

Priority: Normal

Estimated code review effort: 4 (Complex) | ~45 minutes

Sequence Diagram(s)

sequenceDiagram
  participant Balancer
  participant BatteryReports
  participant GridDemand
  participant StandbyReserve
  Balancer->>BatteryReports: assess battery headroom
  Balancer->>GridDemand: check remaining demand
  Balancer->>StandbyReserve: allocate overflow to eligible batteries
  StandbyReserve-->>Balancer: report spill delivery
  Balancer->>StandbyReserve: unload spillers as demand falls
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Possibly related issues

Possibly related PRs

Merge Risk: Low · up to 9cec9

Add the deterministic multi-spiller test before merging; the implementation is otherwise supported, but this core behavior lacks direct regression coverage.

Pre-merge checks: Passed 4 · Failed 1

Failed Failed checks: 1 warning

Check name Status Explanation Resolution
Docstring Coverage Warning Docstring coverage is 47.24% which is insufficient. The required threshold is 80.00%. Docstring coverage is scoped to functions touched by this diff. Analyzed 127 functions across 11 files. (1 skipped… Write docstrings for the functions missing them to satisfy the coverage threshold.
Passed Passed checks: 4 passed
Check name Status Explanation
Title check Passed The title "Cover the active batteries' overflow from standby in efficiency mode" matches the main change: idle (standby) batteries now take the overflow when running batteries cannot meet demand in ef…
Description check Passed The description covers the 'Why' section with the user-facing problem (idle batteries stay at 0 W while the house needs power), explains the standby reserve behaviour, documents the breaking change fo…
Linked Issues check Passed Check skipped because no linked issues were found for this pull request.
Out of Scope Changes check Passed Check skipped because no linked issues were found for this pull request.
Full details: Title check

Explanation

The title "Cover the active batteries' overflow from standby in efficiency mode" matches the main change: idle (standby) batteries now take the overflow when running batteries cannot meet demand in efficiency mode. It is specific and describes the primary behaviour, though it omits the breaking change to 0% Efficiency Window Weight.

Full details: Description check

Explanation

The description covers the 'Why' section with the user-facing problem (idle batteries stay at 0 W while the house needs power), explains the standby reserve behaviour, documents the breaking change for 0% Efficiency Window Weight, and gives verification details. All template checklist items are ticked. The 'Why' section is detailed and the checklist is complete, so the template is satisfied.

Full details: Docstring Coverage

Explanation

Docstring coverage is 47.24% which is insufficient. The required threshold is 80.00%. Docstring coverage is scoped to functions touched by this diff. Analyzed 127 functions across 11 files. (1 skipped: 1 unsupported.)

Resolution

Write docstrings for the functions missing them to satisfy the coverage threshold.

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Actionable comments posted: 1


  • 🪄 Fix comments: Fix CodeRabbit comments on this PR
Prompt to fix review comments
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only still-valid issues, skip the rest with a brief reason, keep changes
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Inline comments:
Review comments at @docs/ct002.md:
- Around line 139-141: Update the lead-stability guidance in the passage around
EFFICIENCY_ROTATION_INTERVAL and Force Rotation: explain that a long interval
prevents timed lead changes, while Force Rotation is only an optional way to
rotate on demand and does not replace setting the interval.

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Files selected for processing: 15
  • CHANGELOG.md
  • docs/ct002.md
  • docs/faq.md
  • docs/mqtt-insights.md
  • esphome/components/ct002/balancer.cpp
  • esphome/components/ct002/balancer.h
  • esphome/components/ct002/ct002.h
  • esphome/components/ct002/ha_discovery.cpp
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  • src/astrameter/ct002/ct002.py
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  • tests/components/ct002/host_balancer_test.cpp
  • tests/components/ct002/test_balancer_parity.py
  • tests/test_balancer_efficiency_window_weight.py
  • tests/test_balancer_standby_reserve.py

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Comment thread docs/ct002.md Resolved
A 0 % battery is sunk to the tail on every poll, so no rotation makes it
the lead, and Force Rotation only restarts the timer. The recipe now swaps
the window weights and keeps the long interval for fleets with more than
one battery ahead of the backup.

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01RMeNgVHswJWLUPGtD23w8w

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🧹 Nitpick comments: 1
tests/test_balancer_standby_reserve.py: 1

253-260: Trivial · Functional Correctness · Quick win

Cover the two-spiller path with a deterministic test.

A 2000 W load can drive the three 800 W batteries into ["b", "c"]. The current fixture uses only 1200 W and asserts ["b"], so it does not test multi-entry joining or reverse-order release. Add the case at this fixture.

Suggested fix
 def _spilling_trio() -> _Loop:
     """Head "a" pinned at 800 W, "b" spilling the rest of 1200 W, "c" idle."""
     loop = _Loop({"a": _Battery(), "b": _Battery(), "c": _Battery()})
     loop.run(1200, 240)
     assert loop.lb._priority[0] == "a"
     assert loop.lb._spilling == ["b"]
     assert loop.mean("b") > 350
     return loop
 
 
+def test_multiple_spillers_join_in_priority_order_and_release_lifo() -> None:
+    loop = _Loop({"a": _Battery(), "b": _Battery(), "c": _Battery()})
+    loop.run(2000, 240)
+    assert loop.lb._spilling == ["b", "c"]
+    assert loop.mean("b") > 700
+    assert loop.mean("c") > 300
+
+    takes = loop.lb._spill_takes(loop.reports(), -800.0)
+    assert takes == {"c": -400.0, "b": -400.0}
+
+
 def test_a_spilling_standby_holds_through_a_probe() -> None:
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Review comment at @tests/test_balancer_standby_reserve.py around lines 253 -
260:
Add a deterministic test near `_spilling_trio` that runs three 800 W batteries
at 2000 W and verifies spillers join in priority order as `["b", "c"]`. Check
their expected mean outputs, then call `_spill_takes` with a -800 W change and
assert release occurs in reverse order, with 400 W taken from each.

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Nitpick comments:
Review comments at @tests/test_balancer_standby_reserve.py:
- Around line 253-260: Add a deterministic test near `_spilling_trio` that runs
three 800 W batteries at 2000 W and verifies spillers join in priority order as
`["b", "c"]`. Check their expected mean outputs, then call `_spill_takes` with a
-800 W change and assert release occurs in reverse order, with 400 W taken from
each.

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Steering evaluation (base vs head)

Overall: 12 improved, 3 regressed, 2 unchanged across 17 metrics — mean -7.9% (better).

Priority: priority-weighted -9.8% (better) — ✅ no do-no-harm guardrail regressions.

Lower is better for every metric. Tracking metrics measure the grid against its target: 0 W, or under peak shaving what the threshold asks for. See src/astrameter/simulator/eval_metrics.py for definitions.

Metrics are the per-scenario mean of 5 seeds.

Aggregate — mean across 44 scenarios

Metric Base Head Δ
settle_mean_s 38.7 36.5 -6%
settle_p95_s 75.0 65.2 -13%
unsettled_events 4.8 4.5 -6%
overshoot_mean_w 54.8 55.7 +2%
overshoot_max_w 176.0 164.7 -6%
band_crossings_per_h 230.3 231.5 +1%
grid_p2p_w 644.1 597.2 -7%
grid_rms_w 332.6 317.2 -5%
steady_rms_w 125.8 101.6 -19%
mean_abs_grid_w 142.5 127.5 -11%
share_imbalance_w 150.9 144.7 -4%
avoidable_import_wh 85.6 64.0 -25%
avoidable_export_wh 43.0 39.3 -9%
cost_regret_ct 1.6 1.25 -22%
battery_travel_w_per_h 32322.5 33727.9 +4%
peak_qh_over_w 0.0 0.0 =
peak_excess_wh 0.8 0.8 =

📊 Interactive grid-power charts (zoom / hover / toggle series) are in the self-contained steering-eval-report.html report — see the link below (it opens directly in the browser).

What do these metrics mean?
Metric Meaning
settle_mean_s Mean seconds after a load/PV step for grid power to return inside the ±25 W settle band and hold for 10 s (reaction speed).
settle_p95_s 95th-percentile settle time — the slow tail of reactions.
unsettled_events Number of disturbance events that never settled within the 10-minute measurement window.
overshoot_mean_w Mean overshoot (W): how far grid power swings past zero to the opposite sign after an event.
overshoot_max_w Worst-case overshoot (W) across all events.
band_crossings_per_h Sign flips per hour across the ±20 W hysteresis band — oscillation / hunting frequency.
grid_p2p_w Sustained peak-to-peak grid swing (95th - 5th percentile) over the whole run — oscillation amplitude. Non-zero whenever the loop keeps hunting, including continuous oscillation the step-response metrics (settle/overshoot) miss.
grid_rms_w RMS grid power (W) over the whole run, transients included — the L2 tracking error: how cleanly the loop held zero, penalising big excursions (overshoot, swings) far harder than a small steady offset. Pairs with battery_travel_w_per_h as the control-effort term.
steady_rms_w RMS grid power (W) during steady state (excluding the 120 s after each event) — residual jitter when nothing is changing.
mean_abs_grid_w Mean absolute grid power (W) over the whole run — overall tracking accuracy.
share_imbalance_w Time-weighted watts misallocated between batteries sharing a phase (sum of each battery's deviation from the even fair share) — 0 when the pool splits load evenly, higher when one battery is left lopsided (issue #523). 0 for scenarios with at most one battery per phase.
avoidable_import_wh Energy imported from the grid (Wh) the battery could have supplied (it had charge and discharge headroom) — missed self-consumption.
avoidable_export_wh Energy exported to the grid (Wh) an AC-chargeable battery could have absorbed (it had room and charge headroom) — missed charging.
cost_regret_ct Money north-star: electricity bill (eurocents, import @ 30 ct/kWh, export @ 8 ct/kWh) over what a perfect-foresight optimal battery would have paid on the same load, with energy still stored at the end credited at the feed-in tariff. Ungameable (both grid directions cost); 0 = matched the optimum. The single number that says how much the controller left on the table.
battery_travel_w_per_h Total absolute change in battery setpoints per hour (W/h) — control effort / actuator wear; lower is smoother.
peak_qh_over_w Peak shaving only: how far the highest 15-minute mean grid import rose above the threshold (W) — the peak a capacity tariff bills. The scenario's pack can cover every peak, so 0 is reachable; 0 for scenarios without peak shaving.
peak_excess_wh Peak shaving only: all energy imported above the threshold (Wh), including brief excursions a quarter-hour mean averages away; 0 without peak shaving.
Per-scenario tables (44 scenarios)
b2500_head_venus/eff1200 — settle 87.9→32.2s, overshoot 867.8→852.3W, RMS 401.3→111.1W
Metric Base Head Δ
settle_mean_s 87.9 32.2 -63%
settle_p95_s 246.6 63.2 -74%
unsettled_events 7.6 1.8 -76%
overshoot_mean_w 160.4 204.1 +27%
overshoot_max_w 867.8 852.3 -2%
band_crossings_per_h 73.9 97.1 +31%
grid_p2p_w 1757.6 176.2 -90%
grid_rms_w 509.9 266.1 -48%
steady_rms_w 401.3 111.1 -72%
mean_abs_grid_w 243.1 78.6 -68%
share_imbalance_w 676.8 802.6 +19%
avoidable_import_wh 88.4 59.5 -33%
avoidable_export_wh 276.1 58.4 -79%
cost_regret_ct 1.95 1.31 -33%
battery_travel_w_per_h 62096.8 69701.4 +12%
peak_qh_over_w 0.0 0.0 =
peak_excess_wh 0.0 0.0 =
b2500_pair_dc_floor — settle 103.9→103.9s, overshoot 102.1→102.1W, RMS 155.8→155.8W
Metric Base Head Δ
settle_mean_s 103.9 103.9 =
settle_p95_s 247.5 247.5 =
unsettled_events 4.4 4.4 =
overshoot_mean_w 49.9 49.9 =
overshoot_max_w 102.1 102.1 =
band_crossings_per_h 17.8 17.8 =
grid_p2p_w 666.3 666.3 =
grid_rms_w 316.5 316.5 =
steady_rms_w 155.8 155.8 =
mean_abs_grid_w 136.5 136.5 =
share_imbalance_w 55.1 55.1 =
avoidable_import_wh 37.6 37.6 =
avoidable_export_wh 0.0 0.0 =
cost_regret_ct 0.65 0.65 =
battery_travel_w_per_h 16896.0 16896.0 =
peak_qh_over_w 0.0 0.0 =
peak_excess_wh 0.0 0.0 =
empty_heads_rotation/eff — settle 53.0→53.0s, overshoot 778.3→778.3W, RMS 359.9→359.9W
Metric Base Head Δ
settle_mean_s 53.0 53.0 =
settle_p95_s 181.2 181.2 =
unsettled_events 2.0 2.0 =
overshoot_mean_w 88.2 88.2 =
overshoot_max_w 778.3 778.3 =
band_crossings_per_h 18.8 18.8 =
grid_p2p_w 1235.0 1235.0 =
grid_rms_w 446.2 446.2 =
steady_rms_w 359.9 359.9 =
mean_abs_grid_w 199.6 199.6 =
share_imbalance_w 967.0 967.0 =
avoidable_import_wh 181.8 181.8 =
avoidable_export_wh 17.8 17.8 =
cost_regret_ct 4.0 4.0 =
battery_travel_w_per_h 38227.0 38227.0 =
peak_qh_over_w 0.0 0.0 =
peak_excess_wh 0.0 0.0 =
full_battery_low_pace — settle 0.0→0.0s, overshoot 0.0→0.0W, RMS 22.5→22.5W
Metric Base Head Δ
settle_mean_s 0.0 0.0 =
settle_p95_s 0.0 0.0 =
unsettled_events 0.0 0.0 =
overshoot_mean_w 0.0 0.0 =
overshoot_max_w 0.0 0.0 =
band_crossings_per_h 0.0 0.0 =
grid_p2p_w 31.0 31.0 =
grid_rms_w 22.5 22.5 =
steady_rms_w 22.5 22.5 =
mean_abs_grid_w 20.3 20.3 =
share_imbalance_w 0.0 0.0 =
avoidable_import_wh 0.0 0.0 =
avoidable_export_wh 5.1 5.1 =
cost_regret_ct 0.0 0.0 =
battery_travel_w_per_h 7668.0 7668.0 =
peak_qh_over_w 0.0 0.0 =
peak_excess_wh 0.0 0.0 =
mixed_cadence/eff — settle 44.3→44.3s, overshoot 149.5→149.5W, RMS 18.4→18.4W
Metric Base Head Δ
settle_mean_s 44.3 44.3 =
settle_p95_s 64.0 64.0 =
unsettled_events 0.0 0.0 =
overshoot_mean_w 63.4 63.4 =
overshoot_max_w 149.5 149.5 =
band_crossings_per_h 23.2 23.2 =
grid_p2p_w 116.6 116.6 =
grid_rms_w 246.9 246.9 =
steady_rms_w 18.4 18.4 =
mean_abs_grid_w 59.3 59.3 =
share_imbalance_w 206.9 206.9 =
avoidable_import_wh 33.6 33.6 =
avoidable_export_wh 25.7 25.7 =
cost_regret_ct 0.74 0.74 =
battery_travel_w_per_h 30384.2 30384.2 =
peak_qh_over_w 0.0 0.0 =
peak_excess_wh 0.0 0.0 =
mixed_cadence/fair — settle 43.2→43.2s, overshoot 43.6→43.6W, RMS 13.1→13.1W
Metric Base Head Δ
settle_mean_s 43.2 43.2 =
settle_p95_s 60.9 60.9 =
unsettled_events 0.0 0.0 =
overshoot_mean_w 21.2 21.2 =
overshoot_max_w 43.6 43.6 =
band_crossings_per_h 16.8 16.8 =
grid_p2p_w 70.4 70.4 =
grid_rms_w 244.0 244.0 =
steady_rms_w 13.1 13.1 =
mean_abs_grid_w 56.0 56.0 =
share_imbalance_w 89.4 89.4 =
avoidable_import_wh 30.9 30.9 =
avoidable_export_wh 25.0 25.0 =
cost_regret_ct 0.68 0.68 =
battery_travel_w_per_h 26948.8 26948.8 =
peak_qh_over_w 0.0 0.0 =
peak_excess_wh 0.0 0.0 =
mixed_cadence_solar/eff — settle 46.5→46.5s, overshoot 1063.7→1063.7W, RMS 51.3→51.3W
Metric Base Head Δ
settle_mean_s 46.5 46.5 =
settle_p95_s 86.1 86.1 =
unsettled_events 2.2 2.2 =
overshoot_mean_w 124.4 124.4 =
overshoot_max_w 1063.7 1063.7 =
band_crossings_per_h 37.9 37.9 =
grid_p2p_w 143.5 143.5 =
grid_rms_w 265.1 265.1 =
steady_rms_w 51.3 51.3 =
mean_abs_grid_w 73.6 73.6 =
share_imbalance_w 135.5 135.5 =
avoidable_import_wh 52.0 52.0 =
avoidable_export_wh 58.4 58.4 =
cost_regret_ct 1.14 1.14 =
battery_travel_w_per_h 41832.6 41832.6 =
peak_qh_over_w 0.0 0.0 =
peak_excess_wh 0.0 0.0 =
mixed_cadence_solar/fair — settle 51.1→51.1s, overshoot 65.5→65.5W, RMS 22.6→22.6W
Metric Base Head Δ
settle_mean_s 51.1 51.1 =
settle_p95_s 109.3 109.3 =
unsettled_events 1.8 1.8 =
overshoot_mean_w 26.8 26.8 =
overshoot_max_w 65.5 65.5 =
band_crossings_per_h 29.9 29.9 =
grid_p2p_w 92.6 92.6 =
grid_rms_w 252.9 252.9 =
steady_rms_w 22.6 22.6 =
mean_abs_grid_w 66.9 66.9 =
share_imbalance_w 102.6 102.6 =
avoidable_import_wh 47.8 47.8 =
avoidable_export_wh 52.6 52.6 =
cost_regret_ct 1.05 1.05 =
battery_travel_w_per_h 32090.4 32090.4 =
peak_qh_over_w 0.0 0.0 =
peak_excess_wh 0.0 0.0 =
mixed_power_limits/eff — settle 26.7→26.7s, overshoot 222.4→222.4W, RMS 15.8→15.8W
Metric Base Head Δ
settle_mean_s 26.7 26.7 =
settle_p95_s 46.3 46.3 =
unsettled_events 24.4 24.4 =
overshoot_mean_w 54.0 54.0 =
overshoot_max_w 222.4 222.4 =
band_crossings_per_h 81.4 81.4 =
grid_p2p_w 2396.5 2396.5 =
grid_rms_w 796.9 796.9 =
steady_rms_w 15.8 15.8 =
mean_abs_grid_w 323.1 323.1 =
share_imbalance_w 109.5 109.5 =
avoidable_import_wh 187.7 187.7 =
avoidable_export_wh 98.9 98.9 =
cost_regret_ct 3.25 3.25 =
battery_travel_w_per_h 122837.8 122837.8 =
peak_qh_over_w 0.0 0.0 =
peak_excess_wh 0.0 0.0 =
mixed_power_limits/eff1200 — settle 50.5→29.3s, overshoot 1009.7→513.0W, RMS 430.0→15.9W
Metric Base Head Δ
settle_mean_s 50.5 29.3 -42%
settle_p95_s 127.7 48.3 -62%
unsettled_events 33.2 28.8 -13%
overshoot_mean_w 149.4 110.8 -26%
overshoot_max_w 1009.7 513.0 -49%
band_crossings_per_h 57.2 55.2 -3%
grid_p2p_w 3360.0 3410.4 +2%
grid_rms_w 1182.1 960.1 -19%
steady_rms_w 430.0 15.9 -96%
mean_abs_grid_w 720.8 451.1 -37%
share_imbalance_w 407.7 280.2 -31%
avoidable_import_wh 610.6 311.2 -49%
avoidable_export_wh 91.1 116.2 +28%
cost_regret_ct 12.16 5.68 -53%
battery_travel_w_per_h 104696.0 122466.8 +17%
peak_qh_over_w 0.0 0.0 =
peak_excess_wh 0.0 0.0 =
mixed_power_limits/fair — settle 27.4→27.4s, overshoot 166.5→166.5W, RMS 16.3→16.3W
Metric Base Head Δ
settle_mean_s 27.4 27.4 =
settle_p95_s 47.8 47.8 =
unsettled_events 26.0 26.0 =
overshoot_mean_w 53.8 53.8 =
overshoot_max_w 166.5 166.5 =
band_crossings_per_h 84.4 84.4 =
grid_p2p_w 2168.9 2168.9 =
grid_rms_w 755.4 755.4 =
steady_rms_w 16.3 16.3 =
mean_abs_grid_w 295.6 295.6 =
share_imbalance_w 19.2 19.2 =
avoidable_import_wh 164.2 164.2 =
avoidable_export_wh 94.9 94.9 =
cost_regret_ct 2.73 2.73 =
battery_travel_w_per_h 116125.4 116125.4 =
peak_qh_over_w 0.0 0.0 =
peak_excess_wh 0.0 0.0 =
mixed_venus_b2500/eff — settle 110.6→110.6s, overshoot 322.6→322.6W, RMS 29.1→29.1W
Metric Base Head Δ
settle_mean_s 110.6 110.6 =
settle_p95_s 230.8 230.8 =
unsettled_events 3.0 3.0 =
overshoot_mean_w 149.4 149.4 =
overshoot_max_w 322.6 322.6 =
band_crossings_per_h 111.7 111.7 =
grid_p2p_w 100.5 100.5 =
grid_rms_w 198.1 198.1 =
steady_rms_w 29.1 29.1 =
mean_abs_grid_w 49.5 49.5 =
share_imbalance_w 271.0 271.0 =
avoidable_import_wh 52.1 52.1 =
avoidable_export_wh 22.2 22.2 =
cost_regret_ct 1.15 1.15 =
battery_travel_w_per_h 46734.6 46734.6 =
peak_qh_over_w 0.0 0.0 =
peak_excess_wh 0.0 0.0 =
mixed_venus_b2500/fair — settle 128.0→128.0s, overshoot 319.0→319.0W, RMS 37.6→37.6W
Metric Base Head Δ
settle_mean_s 128.0 128.0 =
settle_p95_s 242.9 242.9 =
unsettled_events 3.4 3.4 =
overshoot_mean_w 178.3 178.3 =
overshoot_max_w 319.0 319.0 =
band_crossings_per_h 115.7 115.7 =
grid_p2p_w 96.0 96.0 =
grid_rms_w 194.3 194.3 =
steady_rms_w 37.6 37.6 =
mean_abs_grid_w 58.5 58.5 =
share_imbalance_w 144.0 144.0 =
avoidable_import_wh 66.7 66.7 =
avoidable_export_wh 21.1 21.1 =
cost_regret_ct 1.47 1.47 =
battery_travel_w_per_h 41798.0 41798.0 =
peak_qh_over_w 0.0 0.0 =
peak_excess_wh 0.0 0.0 =
peak_shaving — settle 14.9→14.9s, overshoot 139.2→139.2W, RMS 27.2→27.2W
Metric Base Head Δ
settle_mean_s 14.9 14.9 =
settle_p95_s 23.3 23.3 =
unsettled_events 0.0 0.0 =
overshoot_mean_w 72.9 72.9 =
overshoot_max_w 139.2 139.2 =
band_crossings_per_h 25.0 25.0 =
grid_p2p_w 33.6 33.6 =
grid_rms_w 153.9 153.9 =
steady_rms_w 27.2 27.2 =
mean_abs_grid_w 26.4 26.4 =
share_imbalance_w 17.9 17.9 =
avoidable_import_wh 14.0 14.0 =
avoidable_export_wh 12.4 12.4 =
cost_regret_ct 0.15 0.15 =
battery_travel_w_per_h 15170.4 15170.4 =
peak_qh_over_w 0.0 0.0 =
peak_excess_wh 11.9 11.9 =
peak_shaving_slow — settle 40.6→40.6s, overshoot 180.6→180.6W, RMS 28.3→28.3W
Metric Base Head Δ
settle_mean_s 40.6 40.6 =
settle_p95_s 67.2 67.2 =
unsettled_events 0.0 0.0 =
overshoot_mean_w 47.1 47.1 =
overshoot_max_w 180.6 180.6 =
band_crossings_per_h 13.2 13.2 =
grid_p2p_w 65.3 65.3 =
grid_rms_w 222.6 222.6 =
steady_rms_w 28.3 28.3 =
mean_abs_grid_w 54.1 54.1 =
share_imbalance_w 21.8 21.8 =
avoidable_import_wh 26.7 26.7 =
avoidable_export_wh 27.4 27.4 =
cost_regret_ct 0.3 0.3 =
battery_travel_w_per_h 14413.6 14413.6 =
peak_qh_over_w 0.0 0.0 =
peak_excess_wh 21.9 21.9 =
phase_imbalance — settle 60.0→60.0s, overshoot 163.7→163.7W, RMS 30.3→30.3W
Metric Base Head Δ
settle_mean_s 60.0 60.0 =
settle_p95_s 135.1 135.1 =
unsettled_events 1.0 1.0 =
overshoot_mean_w 85.2 85.2 =
overshoot_max_w 163.7 163.7 =
band_crossings_per_h 67.2 67.2 =
grid_p2p_w 41.8 41.8 =
grid_rms_w 191.6 191.6 =
steady_rms_w 30.3 30.3 =
mean_abs_grid_w 38.2 38.2 =
share_imbalance_w 0.0 0.0 =
avoidable_import_wh 24.0 24.0 =
avoidable_export_wh 14.2 14.2 =
cost_regret_ct 0.53 0.53 =
battery_travel_w_per_h 18784.2 18784.2 =
peak_qh_over_w 0.0 0.0 =
peak_excess_wh 0.0 0.0 =
priority_fill_then_serve — settle 50.6→38.7s, overshoot 133.9→141.8W, RMS 389.2→63.4W
Metric Base Head Δ
settle_mean_s 50.6 38.7 -24%
settle_p95_s 192.9 53.8 -72%
unsettled_events 30.4 30.0 -1%
overshoot_mean_w 35.6 51.1 +44%
overshoot_max_w 133.9 141.8 +6%
band_crossings_per_h 45.5 61.7 +36%
grid_p2p_w 2770.5 2454.9 -11%
grid_rms_w 1083.9 901.6 -17%
steady_rms_w 389.2 63.4 -84%
mean_abs_grid_w 535.3 364.9 -32%
share_imbalance_w 734.9 536.5 -27%
avoidable_import_wh 711.2 217.3 -69%
avoidable_export_wh 91.5 107.7 +18%
cost_regret_ct 9.5 3.53 -63%
battery_travel_w_per_h 40165.8 58118.4 +45%
peak_qh_over_w 0.0 0.0 =
peak_excess_wh 0.0 0.0 =
priority_pair — settle 36.3→30.1s, overshoot 121.1→128.3W, RMS 55.4→17.9W
Metric Base Head Δ
settle_mean_s 36.3 30.1 -17%
settle_p95_s 81.0 50.1 -38%
unsettled_events 34.8 30.6 -12%
overshoot_mean_w 37.1 55.4 +49%
overshoot_max_w 121.1 128.3 +6%
band_crossings_per_h 57.1 75.7 +33%
grid_p2p_w 3016.6 2799.8 -7%
grid_rms_w 815.8 785.4 -4%
steady_rms_w 55.4 17.9 -68%
mean_abs_grid_w 375.6 322.6 -14%
share_imbalance_w 699.2 622.9 -11%
avoidable_import_wh 406.0 277.9 -32%
avoidable_export_wh 157.4 170.8 +9%
cost_regret_ct 7.38 5.33 -28%
battery_travel_w_per_h 61908.4 80419.4 +30%
peak_qh_over_w 0.0 0.0 =
peak_excess_wh 0.0 0.0 =
repeating_meter_empty_head/eff — settle 0.0→0.0s, overshoot 0.0→0.0W, RMS 33.8→33.8W
Metric Base Head Δ
settle_mean_s 0.0 0.0 =
settle_p95_s 0.0 0.0 =
unsettled_events 0.0 0.0 =
overshoot_mean_w 0.0 0.0 =
overshoot_max_w 0.0 0.0 =
band_crossings_per_h 2.0 2.0 =
grid_p2p_w 5.0 5.0 =
grid_rms_w 33.3 33.3 =
steady_rms_w 33.8 33.8 =
mean_abs_grid_w 6.5 6.5 =
share_imbalance_w 394.6 394.6 =
avoidable_import_wh 5.7 5.7 =
avoidable_export_wh 0.8 0.8 =
cost_regret_ct 0.13 0.13 =
battery_travel_w_per_h 2031.0 2031.0 =
peak_qh_over_w 0.0 0.0 =
peak_excess_wh 0.0 0.0 =
single_venus_d_solar — settle 23.7→23.7s, overshoot 83.2→83.2W, RMS 16.0→16.0W
Metric Base Head Δ
settle_mean_s 23.7 23.7 =
settle_p95_s 27.9 27.9 =
unsettled_events 0.0 0.0 =
overshoot_mean_w 72.0 72.0 =
overshoot_max_w 83.2 83.2 =
band_crossings_per_h 19.7 19.7 =
grid_p2p_w 33.4 33.4 =
grid_rms_w 103.0 103.0 =
steady_rms_w 16.0 16.0 =
mean_abs_grid_w 18.4 18.4 =
share_imbalance_w 0.0 0.0 =
avoidable_import_wh 12.5 12.5 =
avoidable_export_wh 15.1 15.1 =
cost_regret_ct 0.28 0.28 =
battery_travel_w_per_h 7657.8 7657.8 =
peak_qh_over_w 0.0 0.0 =
peak_excess_wh 0.0 0.0 =
single_venus_d_steps — settle 25.2→25.2s, overshoot 86.6→86.6W, RMS 14.6→14.6W
Metric Base Head Δ
settle_mean_s 25.2 25.2 =
settle_p95_s 31.4 31.4 =
unsettled_events 0.0 0.0 =
overshoot_mean_w 70.6 70.6 =
overshoot_max_w 86.6 86.6 =
band_crossings_per_h 19.0 19.0 =
grid_p2p_w 24.7 24.7 =
grid_rms_w 256.5 256.5 =
steady_rms_w 14.6 14.6 =
mean_abs_grid_w 57.4 57.4 =
share_imbalance_w 0.0 0.0 =
avoidable_import_wh 30.6 30.6 =
avoidable_export_wh 26.7 26.7 =
cost_regret_ct 0.68 0.68 =
battery_travel_w_per_h 19146.0 19146.0 =
peak_qh_over_w 0.0 0.0 =
peak_excess_wh 0.0 0.0 =
single_venus_d_washer — settle 0.0→0.0s, overshoot 0.0→0.0W, RMS 59.9→59.9W
Metric Base Head Δ
settle_mean_s 0.0 0.0 =
settle_p95_s 0.0 0.0 =
unsettled_events 0.0 0.0 =
overshoot_mean_w 0.0 0.0 =
overshoot_max_w 0.0 0.0 =
band_crossings_per_h 320.4 320.4 =
grid_p2p_w 188.8 188.8 =
grid_rms_w 59.9 59.9 =
steady_rms_w 59.9 59.9 =
mean_abs_grid_w 40.9 40.9 =
share_imbalance_w 0.0 0.0 =
avoidable_import_wh 12.1 12.1 =
avoidable_export_wh 8.3 8.3 =
cost_regret_ct 0.27 0.27 =
battery_travel_w_per_h 21397.6 21397.6 =
peak_qh_over_w 0.0 0.0 =
peak_excess_wh 0.0 0.0 =
single_venus_drain — settle 0.0→0.0s, overshoot 0.0→0.0W, RMS 907.3→907.3W
Metric Base Head Δ
settle_mean_s 0.0 0.0 =
settle_p95_s 0.0 0.0 =
unsettled_events 0.0 0.0 =
overshoot_mean_w 0.0 0.0 =
overshoot_max_w 0.0 0.0 =
band_crossings_per_h 68.9 68.9 =
grid_p2p_w 1597.5 1597.5 =
grid_rms_w 907.3 907.3 =
steady_rms_w 907.3 907.3 =
mean_abs_grid_w 645.3 645.3 =
share_imbalance_w 0.0 0.0 =
avoidable_import_wh 14.4 14.4 =
avoidable_export_wh 10.2 10.2 =
cost_regret_ct 0.21 0.21 =
battery_travel_w_per_h 4043.2 4043.2 =
peak_qh_over_w 0.0 0.0 =
peak_excess_wh 0.0 0.0 =
single_venus_fill — settle 360.0→360.0s, overshoot 0.0→0.0W, RMS 953.6→953.6W
Metric Base Head Δ
settle_mean_s 360.0 360.0 =
settle_p95_s 600.0 600.0 =
unsettled_events 4.0 4.0 =
overshoot_mean_w 0.0 0.0 =
overshoot_max_w 0.0 0.0 =
band_crossings_per_h 18.7 18.7 =
grid_p2p_w 1715.6 1715.6 =
grid_rms_w 978.7 978.7 =
steady_rms_w 953.6 953.6 =
mean_abs_grid_w 662.5 662.5 =
share_imbalance_w 0.0 0.0 =
avoidable_import_wh 4.1 4.1 =
avoidable_export_wh 6.7 6.7 =
cost_regret_ct 0.1 0.1 =
battery_travel_w_per_h 3504.8 3504.8 =
peak_qh_over_w 0.0 0.0 =
peak_excess_wh 0.0 0.0 =
single_venus_noisy — settle 0.0→0.0s, overshoot 0.0→0.0W, RMS 94.0→94.0W
Metric Base Head Δ
settle_mean_s 0.0 0.0 =
settle_p95_s 0.0 0.0 =
unsettled_events 0.0 0.0 =
overshoot_mean_w 0.0 0.0 =
overshoot_max_w 0.0 0.0 =
band_crossings_per_h 1456.6 1456.6 =
grid_p2p_w 294.2 294.2 =
grid_rms_w 94.0 94.0 =
steady_rms_w 94.0 94.0 =
mean_abs_grid_w 78.9 78.9 =
share_imbalance_w 0.0 0.0 =
avoidable_import_wh 43.5 43.5 =
avoidable_export_wh 35.4 35.4 =
cost_regret_ct 0.96 0.96 =
battery_travel_w_per_h 20892.8 20892.8 =
peak_qh_over_w 0.0 0.0 =
peak_excess_wh 0.0 0.0 =
single_venus_pv — settle 0.0→0.0s, overshoot 0.0→0.0W, RMS 59.2→59.2W
Metric Base Head Δ
settle_mean_s 0.0 0.0 =
settle_p95_s 0.0 0.0 =
unsettled_events 0.0 0.0 =
overshoot_mean_w 0.0 0.0 =
overshoot_max_w 0.0 0.0 =
band_crossings_per_h 42.4 42.4 =
grid_p2p_w 44.1 44.1 =
grid_rms_w 59.2 59.2 =
steady_rms_w 59.2 59.2 =
mean_abs_grid_w 17.3 17.3 =
share_imbalance_w 0.0 0.0 =
avoidable_import_wh 8.6 8.6 =
avoidable_export_wh 17.3 17.3 =
cost_regret_ct 0.19 0.19 =
battery_travel_w_per_h 7132.6 7132.6 =
peak_qh_over_w 0.0 0.0 =
peak_excess_wh 0.0 0.0 =
single_venus_solar — settle 26.0→26.0s, overshoot 93.0→93.0W, RMS 17.8→17.8W
Metric Base Head Δ
settle_mean_s 26.0 26.0 =
settle_p95_s 31.3 31.3 =
unsettled_events 0.0 0.0 =
overshoot_mean_w 78.7 78.7 =
overshoot_max_w 93.0 93.0 =
band_crossings_per_h 29.6 29.6 =
grid_p2p_w 42.7 42.7 =
grid_rms_w 104.0 104.0 =
steady_rms_w 17.8 17.8 =
mean_abs_grid_w 20.6 20.6 =
share_imbalance_w 0.0 0.0 =
avoidable_import_wh 13.9 13.9 =
avoidable_export_wh 17.0 17.0 =
cost_regret_ct 0.31 0.31 =
battery_travel_w_per_h 7467.0 7467.0 =
peak_qh_over_w 0.0 0.0 =
peak_excess_wh 0.0 0.0 =
single_venus_solar_slow — settle 34.0→34.0s, overshoot 66.2→66.2W, RMS 22.7→22.7W
Metric Base Head Δ
settle_mean_s 34.0 34.0 =
settle_p95_s 42.3 42.3 =
unsettled_events 0.0 0.0 =
overshoot_mean_w 31.6 31.6 =
overshoot_max_w 66.2 66.2 =
band_crossings_per_h 8.8 8.8 =
grid_p2p_w 61.1 61.1 =
grid_rms_w 127.6 127.6 =
steady_rms_w 22.7 22.7 =
mean_abs_grid_w 30.7 30.7 =
share_imbalance_w 0.0 0.0 =
avoidable_import_wh 19.6 19.6 =
avoidable_export_wh 26.4 26.4 =
cost_regret_ct 0.43 0.43 =
battery_travel_w_per_h 6465.2 6465.2 =
peak_qh_over_w 0.0 0.0 =
peak_excess_wh 0.0 0.0 =
single_venus_steps — settle 25.2→25.2s, overshoot 86.6→86.6W, RMS 14.6→14.6W
Metric Base Head Δ
settle_mean_s 25.2 25.2 =
settle_p95_s 31.4 31.4 =
unsettled_events 0.0 0.0 =
overshoot_mean_w 70.6 70.6 =
overshoot_max_w 86.6 86.6 =
band_crossings_per_h 19.0 19.0 =
grid_p2p_w 24.7 24.7 =
grid_rms_w 256.5 256.5 =
steady_rms_w 14.6 14.6 =
mean_abs_grid_w 57.4 57.4 =
share_imbalance_w 0.0 0.0 =
avoidable_import_wh 30.6 30.6 =
avoidable_export_wh 26.7 26.7 =
cost_regret_ct 0.68 0.68 =
battery_travel_w_per_h 19146.0 19146.0 =
peak_qh_over_w 0.0 0.0 =
peak_excess_wh 0.0 0.0 =
single_venus_steps_slow — settle 41.1→41.1s, overshoot 101.9→101.9W, RMS 14.7→14.7W
Metric Base Head Δ
settle_mean_s 41.1 41.1 =
settle_p95_s 59.3 59.3 =
unsettled_events 0.0 0.0 =
overshoot_mean_w 36.6 36.6 =
overshoot_max_w 101.9 101.9 =
band_crossings_per_h 10.6 10.6 =
grid_p2p_w 78.7 78.7 =
grid_rms_w 323.1 323.1 =
steady_rms_w 14.7 14.7 =
mean_abs_grid_w 84.8 84.8 =
share_imbalance_w 0.0 0.0 =
avoidable_import_wh 44.7 44.7 =
avoidable_export_wh 40.1 40.1 =
cost_regret_ct 0.98 0.98 =
battery_travel_w_per_h 17760.8 17760.8 =
peak_qh_over_w 0.0 0.0 =
peak_excess_wh 0.0 0.0 =
single_venus_trace — settle 0.0→0.0s, overshoot 0.0→0.0W, RMS 274.3→274.3W
Metric Base Head Δ
settle_mean_s 0.0 0.0 =
settle_p95_s 0.0 0.0 =
unsettled_events 0.0 0.0 =
overshoot_mean_w 0.0 0.0 =
overshoot_max_w 0.0 0.0 =
band_crossings_per_h 275.6 275.6 =
grid_p2p_w 712.1 712.1 =
grid_rms_w 274.0 274.0 =
steady_rms_w 274.3 274.3 =
mean_abs_grid_w 119.7 119.7 =
share_imbalance_w 0.0 0.0 =
avoidable_import_wh 74.8 74.8 =
avoidable_export_wh 44.3 44.3 =
cost_regret_ct 1.07 1.07 =
battery_travel_w_per_h 37922.8 37922.8 =
peak_qh_over_w 0.0 0.0 =
peak_excess_wh 0.0 0.0 =
single_venus_washer — settle 0.0→0.0s, overshoot 0.0→0.0W, RMS 59.9→59.9W
Metric Base Head Δ
settle_mean_s 0.0 0.0 =
settle_p95_s 0.0 0.0 =
unsettled_events 0.0 0.0 =
overshoot_mean_w 0.0 0.0 =
overshoot_max_w 0.0 0.0 =
band_crossings_per_h 320.4 320.4 =
grid_p2p_w 188.8 188.8 =
grid_rms_w 59.9 59.9 =
steady_rms_w 59.9 59.9 =
mean_abs_grid_w 40.9 40.9 =
share_imbalance_w 0.0 0.0 =
avoidable_import_wh 12.1 12.1 =
avoidable_export_wh 8.3 8.3 =
cost_regret_ct 0.27 0.27 =
battery_travel_w_per_h 21397.6 21397.6 =
peak_qh_over_w 0.0 0.0 =
peak_excess_wh 0.0 0.0 =
two_venus/eff — settle 17.4→17.4s, overshoot 124.1→124.1W, RMS 14.3→14.3W
Metric Base Head Δ
settle_mean_s 17.4 17.4 =
settle_p95_s 21.8 21.8 =
unsettled_events 0.0 0.0 =
overshoot_mean_w 79.4 79.4 =
overshoot_max_w 124.1 124.1 =
band_crossings_per_h 30.0 30.0 =
grid_p2p_w 24.5 24.5 =
grid_rms_w 210.7 210.7 =
steady_rms_w 14.3 14.3 =
mean_abs_grid_w 39.8 39.8 =
share_imbalance_w 169.6 169.6 =
avoidable_import_wh 22.9 22.9 =
avoidable_export_wh 16.9 16.9 =
cost_regret_ct 0.5 0.5 =
battery_travel_w_per_h 21821.4 21821.4 =
peak_qh_over_w 0.0 0.0 =
peak_excess_wh 0.0 0.0 =
two_venus/fair — settle 17.5→17.5s, overshoot 122.4→122.4W, RMS 14.2→14.2W
Metric Base Head Δ
settle_mean_s 17.5 17.5 =
settle_p95_s 23.6 23.6 =
unsettled_events 0.0 0.0 =
overshoot_mean_w 97.1 97.1 =
overshoot_max_w 122.4 122.4 =
band_crossings_per_h 17.6 17.6 =
grid_p2p_w 22.4 22.4 =
grid_rms_w 207.6 207.6 =
steady_rms_w 14.2 14.2 =
mean_abs_grid_w 38.6 38.6 =
share_imbalance_w 27.2 27.2 =
avoidable_import_wh 21.7 21.7 =
avoidable_export_wh 16.9 16.9 =
cost_regret_ct 0.48 0.48 =
battery_travel_w_per_h 19226.6 19226.6 =
peak_qh_over_w 0.0 0.0 =
peak_excess_wh 0.0 0.0 =
two_venus_noisy/eff — settle 0.0→0.0s, overshoot 0.0→0.0W, RMS 94.2→94.2W
Metric Base Head Δ
settle_mean_s 0.0 0.0 =
settle_p95_s 0.0 0.0 =
unsettled_events 0.0 0.0 =
overshoot_mean_w 0.0 0.0 =
overshoot_max_w 0.0 0.0 =
band_crossings_per_h 2894.0 2894.0 =
grid_p2p_w 292.5 292.5 =
grid_rms_w 94.3 94.3 =
steady_rms_w 94.2 94.2 =
mean_abs_grid_w 79.4 79.4 =
share_imbalance_w 23.7 23.7 =
avoidable_import_wh 45.5 45.5 =
avoidable_export_wh 33.8 33.8 =
cost_regret_ct 1.0 1.0 =
battery_travel_w_per_h 21266.8 21266.8 =
peak_qh_over_w 0.0 0.0 =
peak_excess_wh 0.0 0.0 =
two_venus_noisy/fair — settle 0.0→0.0s, overshoot 0.0→0.0W, RMS 94.0→94.0W
Metric Base Head Δ
settle_mean_s 0.0 0.0 =
settle_p95_s 0.0 0.0 =
unsettled_events 0.0 0.0 =
overshoot_mean_w 0.0 0.0 =
overshoot_max_w 0.0 0.0 =
band_crossings_per_h 2903.2 2903.2 =
grid_p2p_w 292.3 292.3 =
grid_rms_w 94.1 94.1 =
steady_rms_w 94.0 94.0 =
mean_abs_grid_w 79.3 79.3 =
share_imbalance_w 24.1 24.1 =
avoidable_import_wh 45.4 45.4 =
avoidable_export_wh 33.9 33.9 =
cost_regret_ct 1.0 1.0 =
battery_travel_w_per_h 21041.6 21041.6 =
peak_qh_over_w 0.0 0.0 =
peak_excess_wh 0.0 0.0 =
two_venus_slow/fair — settle 41.4→41.4s, overshoot 19.6→19.6W, RMS 14.1→14.1W
Metric Base Head Δ
settle_mean_s 41.4 41.4 =
settle_p95_s 52.7 52.7 =
unsettled_events 0.0 0.0 =
overshoot_mean_w 14.8 14.8 =
overshoot_max_w 19.6 19.6 =
band_crossings_per_h 10.6 10.6 =
grid_p2p_w 73.9 73.9 =
grid_rms_w 305.3 305.3 =
steady_rms_w 14.1 14.1 =
mean_abs_grid_w 80.0 80.0 =
share_imbalance_w 24.3 24.3 =
avoidable_import_wh 41.6 41.6 =
avoidable_export_wh 38.3 38.3 =
cost_regret_ct 0.92 0.92 =
battery_travel_w_per_h 17596.2 17596.2 =
peak_qh_over_w 0.0 0.0 =
peak_excess_wh 0.0 0.0 =
two_venus_solar/eff — settle 25.9→25.9s, overshoot 534.9→534.9W, RMS 20.6→20.6W
Metric Base Head Δ
settle_mean_s 25.9 25.9 =
settle_p95_s 45.7 45.7 =
unsettled_events 1.6 1.6 =
overshoot_mean_w 124.1 124.1 =
overshoot_max_w 534.9 534.9 =
band_crossings_per_h 51.2 51.2 =
grid_p2p_w 58.9 58.9 =
grid_rms_w 218.4 218.4 =
steady_rms_w 20.6 20.6 =
mean_abs_grid_w 48.9 48.9 =
share_imbalance_w 71.4 71.4 =
avoidable_import_wh 36.3 36.3 =
avoidable_export_wh 37.0 37.0 =
cost_regret_ct 0.8 0.8 =
battery_travel_w_per_h 27471.0 27471.0 =
peak_qh_over_w 0.0 0.0 =
peak_excess_wh 0.0 0.0 =
two_venus_solar/fair — settle 25.3→25.3s, overshoot 143.8→143.8W, RMS 20.4→20.4W
Metric Base Head Δ
settle_mean_s 25.3 25.3 =
settle_p95_s 48.6 48.6 =
unsettled_events 1.4 1.4 =
overshoot_mean_w 100.4 100.4 =
overshoot_max_w 143.8 143.8 =
band_crossings_per_h 34.4 34.4 =
grid_p2p_w 59.4 59.4 =
grid_rms_w 214.1 214.1 =
steady_rms_w 20.4 20.4 =
mean_abs_grid_w 47.2 47.2 =
share_imbalance_w 30.6 30.6 =
avoidable_import_wh 34.2 34.2 =
avoidable_export_wh 36.6 36.6 =
cost_regret_ct 0.75 0.75 =
battery_travel_w_per_h 24313.2 24313.2 =
peak_qh_over_w 0.0 0.0 =
peak_excess_wh 0.0 0.0 =
two_venus_trace/eff — settle 0.0→0.0s, overshoot 0.0→0.0W, RMS 285.0→285.0W
Metric Base Head Δ
settle_mean_s 0.0 0.0 =
settle_p95_s 0.0 0.0 =
unsettled_events 0.0 0.0 =
overshoot_mean_w 0.0 0.0 =
overshoot_max_w 0.0 0.0 =
band_crossings_per_h 293.6 293.6 =
grid_p2p_w 784.0 784.0 =
grid_rms_w 283.9 283.9 =
steady_rms_w 285.0 285.0 =
mean_abs_grid_w 125.7 125.7 =
share_imbalance_w 397.5 397.5 =
avoidable_import_wh 74.7 74.7 =
avoidable_export_wh 51.0 51.0 =
cost_regret_ct 1.65 1.65 =
battery_travel_w_per_h 56669.6 56669.6 =
peak_qh_over_w 0.0 0.0 =
peak_excess_wh 0.0 0.0 =
two_venus_trace/fair — settle 0.0→0.0s, overshoot 0.0→0.0W, RMS 284.8→284.8W
Metric Base Head Δ
settle_mean_s 0.0 0.0 =
settle_p95_s 0.0 0.0 =
unsettled_events 0.0 0.0 =
overshoot_mean_w 0.0 0.0 =
overshoot_max_w 0.0 0.0 =
band_crossings_per_h 288.0 288.0 =
grid_p2p_w 772.4 772.4 =
grid_rms_w 283.7 283.7 =
steady_rms_w 284.8 284.8 =
mean_abs_grid_w 125.1 125.1 =
share_imbalance_w 31.1 31.1 =
avoidable_import_wh 74.3 74.3 =
avoidable_export_wh 50.8 50.8 =
cost_regret_ct 1.64 1.64 =
battery_travel_w_per_h 54480.2 54480.2 =
peak_qh_over_w 0.0 0.0 =
peak_excess_wh 0.0 0.0 =
venus_d_plus_c/eff — settle 17.4→17.4s, overshoot 122.0→122.0W, RMS 14.3→14.3W
Metric Base Head Δ
settle_mean_s 17.4 17.4 =
settle_p95_s 21.8 21.8 =
unsettled_events 0.0 0.0 =
overshoot_mean_w 79.2 79.2 =
overshoot_max_w 122.0 122.0 =
band_crossings_per_h 29.6 29.6 =
grid_p2p_w 24.5 24.5 =
grid_rms_w 210.7 210.7 =
steady_rms_w 14.3 14.3 =
mean_abs_grid_w 39.8 39.8 =
share_imbalance_w 170.0 170.0 =
avoidable_import_wh 22.9 22.9 =
avoidable_export_wh 16.9 16.9 =
cost_regret_ct 0.5 0.5 =
battery_travel_w_per_h 21841.4 21841.4 =
peak_qh_over_w 0.0 0.0 =
peak_excess_wh 0.0 0.0 =
venus_d_plus_c/fair — settle 17.5→17.5s, overshoot 122.4→122.4W, RMS 14.2→14.2W
Metric Base Head Δ
settle_mean_s 17.5 17.5 =
settle_p95_s 23.6 23.6 =
unsettled_events 0.0 0.0 =
overshoot_mean_w 97.1 97.1 =
overshoot_max_w 122.4 122.4 =
band_crossings_per_h 17.6 17.6 =
grid_p2p_w 22.4 22.4 =
grid_rms_w 207.6 207.6 =
steady_rms_w 14.2 14.2 =
mean_abs_grid_w 38.6 38.6 =
share_imbalance_w 27.2 27.2 =
avoidable_import_wh 21.7 21.7 =
avoidable_export_wh 16.9 16.9 =
cost_regret_ct 0.48 0.48 =
battery_travel_w_per_h 19226.6 19226.6 =
peak_qh_over_w 0.0 0.0 =
peak_excess_wh 0.0 0.0 =
weighted_cascade/fair — settle 29.8→29.8s, overshoot 188.0→188.0W, RMS 19.8→19.8W
Metric Base Head Δ
settle_mean_s 29.8 29.8 =
settle_p95_s 48.4 48.4 =
unsettled_events 29.4 29.4 =
overshoot_mean_w 62.8 62.8 =
overshoot_max_w 188.0 188.0 =
band_crossings_per_h 73.9 73.9 =
grid_p2p_w 2739.8 2739.8 =
grid_rms_w 768.5 768.5 =
steady_rms_w 19.8 19.8 =
mean_abs_grid_w 312.4 312.4 =
share_imbalance_w 591.3 591.3 =
avoidable_import_wh 263.4 263.4 =
avoidable_export_wh 167.2 167.2 =
cost_regret_ct 5.07 5.07 =
battery_travel_w_per_h 82491.0 82491.0 =
peak_qh_over_w 0.0 0.0 =
peak_excess_wh 0.0 0.0 =

📊 Open the interactive report — steering-eval-report.html, a single self-contained file (opens in-browser; download it if your browser blocks inline scripts).

@tomquist
tomquist merged commit f0ce885 into develop Oct 27, 2026
88 checks passed
@tomquist
tomquist deleted the claude/vigilant-thompson-gx9t6k branch October 27, 2026 05:15
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